Junior data analyst jobs in West Valley City, UT - 173 jobs

Established in 1991, Collabera is one of the fastest growing end-to-end information technology services and solutions companies globally. As a half a billion dollar IT company, Collabera's client-centric business model, commitment to service excellence and Global Delivery Model enables its global 2000 and leading mid-market clients to deliver successfully in an increasingly competitive marketplace. With over 8200 IT professionals globally, Collabera provides value-added onsite, offsite and offshore technology services and solutions to premier corporations. Over the past few years, Collabera has been awarded numerous accolades and Industry recognitions including. • Collabera awarded Best Staffing Company to work for in 2012 by SIA. (hyperlink here) • Collabera listed in GS 100 - recognized for excellence and maturity • Collabera named among the Top 500 Diversity Owned Businesses • Collabera listed in GS 100 & ranked among top 10 service providers • Collabera was ranked: • 32 in the Top 100 Large Businesses in the U.S • 18 in Top 500 Diversity Owned Businesses in the U.S • 3 in the Top 100 Diversity Owned Businesses in New Jersey • 3 in the Top 100 Privately-held Businesses in New Jersey • 66th on FinTech 100 • 35th among top private companies in New Jersey *********************************************** Collabera recognizes true potential of human capital and provides people the right opportunities for growth and professional excellence. Collabera offers a full range of benefits to its employees including paid vacations, holidays, personal days, Medical, Dental and Vision insurance, 401K retirement savings plan, Life Insurance, Disability Insurance. Job Description • Role Purpose Responsible for the documentation of business needs/requirements and testing requirements, applying the required methods and standards, as appropriate. • Assists in the analysis of underlying issues arising from investigations into requirements. • Assists the project team in the completion of project-related documentation. • Recommended Experience Entry-level position into Business Analysis functional domain. • May have prior experience as a Programmer and/or Service Delivery Engineer within a technical delivery/support organization. • May have prior business experience in a functional domain. • Scope Works as part of a team on projects which are moderately complex. • Accountabilities Reports to the Lead Business Analyst, Lead Project Manager or Director Technical Delivery (where a Lead Business Analyst is not available). • May work in conjunction with Testing & Quality Assurance resources (if applicable) to coordinate testing phases. • Management Dimensions Not applicable Functional Capability Facilitates the set-up of meetings and conference calls. • Participates in project definition and analysis phases of projects to ensure that business needs and requirements are captured effectively. • Assists the Lead Business Analyst/Program/Lead Project Manager in completing the relevant project documentation. • Assists in the analysis of underlying issues arising from investigations into requirements. • Assists in test planning and test case definition, as required. • Involved in system and user acceptance testing phases, developing test cases and monitoring/tracking resolution of defects. • Reliable and self-motivated Focuses on the Customer and Client Builds and Leverages. • Enjoys working both collaboratively and independently Communicates. • Verbally and in writing. • Facilitation skills Drives Innovation and Change. • Problem solving and analytical skills Demonstrates Personal Excellence. • Those identified here are of particular significance. Additional Information HM is available to interview ASAP. If you are interested with the Opportunity please reach me ************

Must Have Technical/Functional Skills * Advanced SQL experience; ability to build basic queries to profile and validate data * Basic understanding of database platforms and utilities to enable translation of business requirements to technical requirements * Basic understanding of ETL (extraction, transformation, and loading) disciplines * Strong Analytical skills * Strong communication skills * Self-Motivation and drive to independently find answers prior to asking for help * Strong organization and time management skills * Commercial Lending knowledge preferred, but not required Roles & Responsibilities * Collaborate with business analysts and data engineers to validate conversion code is accurate and complete. * Document gaps in requirements and potential remediation * Build SQL queries to conduct data profiling and validation scripts * Perform other duties as assigned. TCS Employee Benefits Summary: * Discretionary Annual Incentive. * Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. * Family Support: Maternal & Parental Leaves. * Insurance Options: Auto & Home Insurance, Identity Theft Protection. * Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. * Time Off: Vacation, Time Off, Sick Leave & Holidays. * Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. Salary Range: $115,000 - $120,000 a year

Who We Are Addepar is a global technology and data company that helps investment professionals provide the most informed, precise guidance for their clients. Hundreds of thousands of users have entrusted Addepar to empower smarter investment decisions and better advice over the last decade. With client presence in more than 50 countries, Addepar's platform aggregates portfolio, market and client data for over $8 trillion in assets. Addepar's open platform integrates with more than 100 software, data and services partners to deliver a complete solution for a wide range of firms and use cases. Addepar embraces a global flexible workforce model with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, and São Paulo. The Role As an Investment Data Analyst, you will partner with clients to integrate and analyze multi-asset class portfolios, performance data, and market data from a wide range of sources. You'll consult on investment workflows, ensuring accuracy and consistency, while collaborating closely with other Data Solutions Consultants and internal teams to deliver seamless client outcomes. This role is ideal for someone who thrives at the intersection of finance and data, is solutions-oriented, and enjoys working directly with clients. Addepar takes a market-based approach to pay. A successful candidate's starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York. The current range for this role is $90,000 - $112,000 (base salary) + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment. What You'll Do Translate unique client requirements into flexible and scalable investment data solutions Lead data conversion projects to integrate historical portfolio data from legacy systems into Addepar Work directly with complex investment datasets, including multi-asset class portfolios, performance data, and market data from various sources Consult with clients on investment data workflows, ensuring accuracy, consistency, and scalability Collaborate closely with other Data Solutions Consultants on technical implementations to ensure smooth onboarding and delivery Identify and drive opportunities to improve processes, tools, and data quality standards Communicate proactively and professionally with clients and internal stakeholders Who You Are Minimum 2+ years of experience working in technology, finance, or consulting Deep understanding of a wide range of financial instruments, including equities, fixed income, derivatives, and alternative investments Hands-on experience working with complex investment datasets, including multi-asset class portfolios, performance data, and market data from various sources Solution-oriented mentality and passion for problem-solving Excellent communication, organizational, and time-management skills Strong work ethic, proactive, and a high-contributing teammate Highly organized with close attention to detail, driven to make processes more efficient Independent, adaptable, and able to thrive in a fast-paced environment Strong proficiency with Excel (pivot tables, lookups, nested formulas, data cleaning/validation); ability to structure and manipulate complex datasets Experience with Python programming language is a bonus but not a requirement Our Values Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes. Build Together - Collaborate to unlock the best solutions. Deliver lasting value. Champion Our Clients - Exceed client expectations. Our clients' success is our success. Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to *************************.

Are you ready to be part of a company that's not just talking about the future, but actively shaping it? Join The AES Corporation (NYSE: AES), a Fortune 500 company that's leading the charge in the global energy revolution. With operations spanning 14 countries, AES is committed to shaping a future through innovation and collaboration. Our dedication to innovation has earned us recognition as one of the Top Ten Best Workplaces for Innovators by Fast Company in 2022. And with our certification as a Great Place to Work, you can be confident that you're joining a company that values its people just as much as its groundbreaking ideas. AES is proudly ranked #1 globally in renewable energy sales to corporations, and with $12.7B in revenues in 2023, we have the resources and expertise to make a significant impact as we provide electricity to 25 million customers worldwide. As the world moves towards a net-zero future, AES is committed to meeting the Paris Agreement's goals by 2050. Our innovative solutions, such as 24/7 carbon-free energy for data centers, are setting the pace for rapid, global decarbonization. If you're ready to be part of a company that's not just adapting to change, but driving it, AES is the place for you. We're not just building a cleaner, more sustainable future - we're powering it. Apply now and energize your career with a true leader in the global energy transformation. At AES, our commitment to a sustainable future drives us to explore the frontier of artificial intelligence. As pioneers in clean energy, we harness data, analytics, and cutting-edge agentic AI (autonomous intelligent agents) to optimize operations, anticipate challenges, and accelerate the transition to zero carbon. Joining our Renewables Data, AI & Analytics team means entering an innovative environment where you will help shape next-generation intelligent systems for energy. Role Overview We are seeking a strategic and technically capable Analyst, Data & AI Solutions to support the design, development, and deployment of AI/ML and agentic AI initiatives across the Clean Energy business. This role blends data science expertise with business analysis and stakeholder engagement, enabling the organization to accelerate AI-driven innovation while reducing the operational burden on leadership. The ideal candidate will be able to identify and document AI/ML project requirements, contribute to solution development, and lead strategic conversations with stakeholders. This position is critical to shaping the early stages of AI initiatives and supporting the creation of strategic presentations, standards, and processes. Key Responsibilities AI/ML Requirements Gathering: Collaborate with stakeholders across engineering, operations, and business teams to capture and document requirements for AI/ML and agentic AI projects. Translate business needs into technical specifications and use cases. Solution Development Support: Assist in prototyping and developing AI/ML models and intelligent agents using platforms such as Microsoft Copilot Studio, Python, and cloud-based tools (Azure, GCP). Support integration of AI solutions into operational workflows. Stakeholder Engagement: Lead or support strategic meetings with internal teams to ideate AI use cases, present solution options, and align initiatives with business goals. Act as a liaison between technical teams and business units. Strategic Presentation & Documentation: Prepare executive-level presentations, reports, and documentation that summarize project scope, value, and progress. Support the Data & AI Solutions Manager in communicating standards, processes, and strategic roadmaps. Responsible AI & Governance: Uphold principles of Responsible AI including fairness, transparency, and safety. Ensure solutions comply with internal governance frameworks and ethical standards. Monitoring & Iteration: Track performance of deployed AI/ML solutions and agents. Collect feedback, monitor KPIs, and assist in iterative improvements to enhance business impact. Qualifications Bachelor's degree in Data Science, Computer Science, Engineering, or a related field. 1-2 years of experience in data science, machine learning, or AI (including internships or academic projects). Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch); familiarity with SQL and data visualization tools (e.g., Power BI). Exposure to agentic AI platforms (e.g., Microsoft Copilot Studio, Google AgentSpace) is a plus. Strong communication and interpersonal skills; able to explain technical concepts to non-technical audiences and capture business requirements effectively. Demonstrated ability to work cross-functionally and manage multiple priorities. Certifications in AI/ML, data analytics, or Responsible AI are desirable. Preferred Attributes Experience with prompt engineering or working with large language models (LLMs). Familiarity with cloud platforms (Azure, GCP) and enterprise data environments. Strategic mindset with a passion for innovation and continuous learning. Ability to work independently and proactively in a fast-paced environment. AES is an Equal Opportunity Employer who is committed to building strength and delivering long-term sustainability through diversity and inclusion. Respecting all backgrounds, differences and perspectives enables us to improve the lives of our people, customers, suppliers, contractors, and the communities in which we live and work. All qualified applicants will receive consideration for employment without regard to sex, sexual orientation, gender, gender identity and/or expression, race, national origin, ethnicity, age, religion, marital status, physical or mental disability, pregnancy, childbirth, or related medical condition, military or veteran status, or any other characteristic protected under applicable law. E-Verify Notice: AES will provide the Social Security Administration (SSA) and if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.The expected salary for this position, at commencement of employment, is between $73,000 and $88,400/Annual; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements such as annual bonus, in addition to a full range of medical, dental, vision, life, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if a candidate receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

As a Sales Data Analyst at Bamboo Insurance, you will play a key role leveraging insights from data to help drive our go-to-market approach across all our distribution channels. The ideal candidate will possess strong analytical skills, the ability to work with large and complex data sets using SQL, and the ability to collaborate effectively with cross-functional teams. Duties/Responsibilities: Design and build management reports, dashboards and scorecards to analyze customer and agent behavior. Monitor ongoing performance across distribution partners, identifying opportunities to increase sales and customer conversions. Assist in the onboarding of new partners, from a data governance perspective, ensuring data accurately flows from source systems to reporting tools and dashboards. Build and refine the ideal customer profile for direct-to-consumer marketing Collaborate with underwriting, actuarial, and marketing teams to gather insights and data for product enhancement. Other duties, as assigned. Required Skills/Abilities: Strong analytical and quantitative skills with the ability to interpret complex data sets. Excellent communication skills, with the ability to convey technical information to non-technical stakeholders. Detail-oriented mindset with the ability to manage multiple tasks and deadlines. Proficiency in using analytical tools and software. Collaborative team player with a proactive and problem-solving attitude. Required Education and Experience: Bachelor's degree in Business, Finance, Mathematics, Statistics, or a related field. 3+ years of experience in data analysis, insurance, underwriting, or a related role. Intermediate to advanced skills in Microsoft Excel. Knowledge of SQL, Python, Tableau, and/or other programming/data query/reporting Preferred Requirements: Experience with Homeowners' insurance. Physical Requirements: Prolonged periods of sitting at a desk and working on a computer. Salary: Starting at $80,000 annually. Candidate's skills, experience and abilities will be taken into consideration for final offer. Bamboo is committed to the principles of equal employment. We are committed to complying with all federal, state, and local laws providing equal employment opportunities, and all other employment laws and regulations.

Leverage data from multiple trusted sources to deliver timely, accurate, and actionable insights that support strategic decision-making and drive operational excellence across the organization. Deliver accurate, timely, and actionable insights by integrating data from multiple trusted sources to support strategic decisions and operational excellence. Education: BS/BA Degree in Information Systems, Data Science, or Computer Science or a related field. Experience: Minimum 2 years in multi-system data validation, quality assessment, and dashboard/report configuration. Technical Skills: Intermediate proficiency in Power BI and SQL. Familiarity with data governance frameworks and compliance standards. Preferred: Knowledge of Python/R for advanced analytics. Certifications: Preferred: Microsoft Certified: Data Analyst Associate, CDMP, or equivalent. Soft Skills: Strong problem-solving and debugging abilities. Ability to work independently and collaboratively. Skilled in data storytelling and presentation. Comfortable working in a fast-paced environment with shifting priorities Integrate structured and unstructured data from multiple systems for standardized dashboards and reporting. Perform ad hoc and deep-dive analyses to uncover actionable insights. Validate and maintain data quality, including completeness, reliability, and uniqueness. Develop predictive/statistical models and advanced queries to support business needs. Translate complex data into compelling visualizations and narratives that drive informed decisions. Collaborate with cross-functional teams to understand data needs and deliver tailored solutions Key Competencies Data Understanding: Define data sources, capture methods, and consumption pathways. Data Quality Assessment: Ensure accuracy, validity, and compliance with standards. Data Organization: Model and structure data for accessibility and usability; create data warehouses. Reporting & Storytelling: Build dashboards and reports that are actionable and measurable. Security & Governance: Manage user access, ensure compliance, and provide guidance on data use. Collaboration & Communication: Effectively communicate insights and recommendations to technical and non-technical audiences.

About Us: Each of CenExel's research sites specialize in Phase I to Phase IV clinical trials. Our Centers of Excellence comprise some of the most well respected and long-standing research facilities in the country. Specialty areas of research across our sites include Psychiatry, Acute Post Op Pain, Asian Bridging, Dermatology, GI, and Neurology. Each of our Centers of Excellence has tremendous experience and expertise in complex early phase trials, and all our sites have in-patient capability. We focus on quality people, teamwork, and highly experienced clinical research managers with a history of success. Along with an exceptional work environment that promotes teamwork, positive leadership, and optimal work-life balance, CenExel Clinical Research also provides highly competitive compensation and a generous benefits package to full time employees after 30 days of employment including Health Insurance, Dental, Vision, LTD, STD, Life Ins, and 401k. Job Summary: Under moderate supervision, the Data Entry Coordinator I transcribes clinical research data correctly from source documents to electronic data capture following ALCOA-C principles. Essential Responsibilities and Duties: Ensures timely data entry thru department and study tracking, etc. Maintains healthy professional relationships with Clinical Operations, Quality, Regulatory, CROs, Sponsors, etc., as well key clinical trial personnel. Transcribes data accurately and efficiently from source documents to electronic data capture. Assists in preparing for internal and external data audits along with the clinical operations/ quality/ and regulatory teams. Completes training and obtains applicable certificates and access to CRFs/EDC. Verifies source documents (e.g., “buddy check”). Assists CRCs in entering data from paper source documents to eCRFs correctly, accurately and on a timely manner for multiple clinical trials. Supports and ensures strictest adherence to best practices, FDA Code of Federal Regulations, ICH (International Conference on Harmonization), GCP (Good Clinical Practices), CenExel standard operating procedures, site working Practices, protocol, and company guidelines and policies. Assumes other duties and responsibilities as assigned. The above responsibilities are a general description of the level and nature of the work assigned to this classification and are not to be considered as all inclusive. Education/Experience/Skills: Minimum High School graduate or equivalent. One year of data entry or related preferred. Must have excellent computer skills and medical/research terminology. Must be self-directed and able to work with minimal supervision. Motivated to work consistently in a fast paced and rapidly changing environment. Able to manage multiple projects and responsibilities. Working Conditions Indoor, Office environment. Essential physical requirements include sitting, typing, standing, and walking. Lightly active position, occasional lifting of up to 20 pounds. Reporting to work, as scheduled, is essential. On site work arrangement. CenExel Clinical Research is an Equal Opportunity Employer. All applicants will be considered for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or status.

Job Description Come Build, Disrupt and Thrive! KēSTA I.T. is seeking a Data Analyst for a contract opportunity. We are seeking a highly skilled and technically proficient Senior Data Integration Analyst to join our Clients Enterprise Data team. This role is crucial in transforming fragmented data into unified, scalable, and compliant assets that drive strategic decision-making and operational excellence. This is not a role for casual query writers; it requires deep technical expertise in data plumbing, transformation, and performance optimization. Key Responsibilities Data Engineering & Integration Design and maintain robust ETL/ELT workflows to consolidate high-volume data from multiple disparate source systems (both internal and external) into cohesive, enterprise-wide data models. Collaborate directly with Data Engineering and platform teams to optimize data pipelines for maximum scalability, efficiency, and throughput in a high-volume data environment. Mandatory hands-on ETL experience: Design, implement, and rigorously troubleshoot data transformation logic and workflows to ensure high data reliability. Proactively identify and resolve data fragmentation issues, ensuring accurate data reconciliation and consistency across the enterprise. Advanced Data & Query Development Write, tune, and maintain highly complex SQL queries, stored procedures, and scripts necessary for bulk data extraction, transformation, and database management. Focus on performance tuning across both relational and distributed databases to ensure rapid access for critical reporting and compliance needs. Ensure all data models and pipelines adhere to strict data governance principles and regulatory compliance standards within a regulated business environment. Business Intelligence & Analytics Develop impactful dashboards and comprehensive reports using leading BI tools (Power BI, Tableau) to provide holistic, easy-to-interpret insights to business stakeholders. Support urgent, high-stakes ad-hoc analysis for business units, leadership, and external regulatory audits. Champion data quality and integrity, serving as a subject matter expert on data definitions and accuracy. Required Qualifications Experience: 5+ years in a dedicated Data Analyst, Data Engineer, or BI Developer role focused heavily on data integration and ETL processes. Technical Mastery: Advanced, demonstrable proficiency in SQL (including complex joins, window functions, and performance tuning). ETL/ELT: Proven, mandatory experience designing, implementing, and troubleshooting robust ETL/ELT workflows and data pipelines. Database Knowledge: Strong understanding of relational database design, data modeling concepts (dimensional, third normal form), and tuning practices. Compliance: Experience with data governance, data quality management, and compliance requirements in a regulated industry environment. Education: Bachelor's degree in Computer Science, Information Systems, or a related quantitative field. Preferred Skills Familiarity with financial systems, general ledger, or risk/compliance data is a strong plus. Experience with specific commercial ETL/data integration tools (e.g., SSIS, Informatica, Talend, etc.). Experience with cloud data warehouse environments (e.g., Snowflake, Google BigQuery, AWS Redshift). About KēSTA I.T.: KēSTA I.T. is a premier Utah based technical staffing and consulting services firm. We specialize in temporary and permanent placement of software, hardware, network, cloud, CRM/ERP, data, end user support, web, and executive/leadership based positions on a full time and consulting basis. If you're interested in a role where top performance is rewarded, personal time is valued, and excellence is demanded at every level, we want to talk to you today! Where do you want to go? We've got the keys! ~ KēSTA I.T. **********************

Job Title: Data Entry Analyst Company: Excell Financial Services Are you a detail-oriented individual with excellent data management skills? Are you looking for a career in the financial services industry? Excell Financial Services is currently seeking a Data Entry Analyst to join our dynamic team. About the Company: Excell Financial Services is a leading financial services company, specializing in providing expert financial advice and services to individuals and businesses. Our company prides itself on its commitment to providing personalized and customized solutions to our clients, while maintaining the highest level of integrity and professionalism. Position Overview: As a Data Entry Analyst, you will be responsible for accurately inputting and maintaining essential financial data into our systems. You will play a critical role in ensuring the accuracy and completeness of our financial records. This position offers excellent opportunities for career growth and development within the financial services industry. Key Responsibilities: • Accurately and efficiently input financial data into our systems • Verify the accuracy and completeness of data entered • Identify and resolve any discrepancies or errors in data • Collaborate with team members to ensure timely and accurate data entry • Maintain confidentiality and security of all financial data • Stay up-to-date with industry trends and best practices for data entry • Provide support to other departments as needed Qualifications: • Bachelor's degree in accounting, finance, or a related field • Proven experience in data entry and financial data management • Excellent attention to detail and strong analytical skills • Proficient in Microsoft Office Suite, especially Excel • Knowledge of accounting and financial principles • Ability to handle and prioritize multiple tasks with competing deadlines • Strong communication and interpersonal skills • Team player with a positive attitude Why Work at Excell Financial Services: At Excell Financial Services, we value our employees and understand that they are the key to our success. That's why we offer a competitive salary and benefits package, including health insurance, retirement savings options, and opportunities for career advancement. We also promote a healthy work-life balance and actively foster a supportive and inclusive work culture. Join Our Team: If you are looking for a challenging and rewarding career in the financial services industry, then we want to hear from you. Apply now and become part of the Excell Financial Services team as a Data Entry Analyst.

The Healthcare Sales Data Analyst will play a critical role in supporting business growth by analyzing sales performance, market trends, and customer data within the healthcare sector. This position bridges the gap between sales strategy and data-driven decision-making, ensuring that leadership teams have actionable insights to optimize revenue, strengthen client relationships, and expand market share. Bristol Hospice is a nationwide industry leader committed to providing a family-centered approach in the delivery of hospice services throughout our communities. We are dedicated to our mission that all patients and families entrusted to our care will be treated with the highest level of compassion, respect, and dignity. For more information about Bristol Hospice, visit bristolhospice.com or follow us on LinkedIn. Our Culture Our culture is cultivated using the following values: Integrity: We are honest and professional. Trust: We count on each other. Excellence: We strive to always do our best and look for ways to improve and excel. Accountability: We accept responsibility for our actions, attitudes, and mistakes. Mutual Respect: We treat others the way we want to be treated. Qualifications An Average Day: (Includes, but not limited to) Collect, clean, and analyze healthcare sales data from multiple sources (CRM, EMR, claims, and internal systems). Develop dashboards and reports to track KPIs such as revenue growth, referral sources, conversion rates, and territory performance. Provide actionable insights to sales leadership for forecasting, pipeline management, and strategic planning. Identify market trends, competitor activity, and customer behavior to support targeted sales campaigns. Collaborate with sales, marketing, and clinical teams to align data insights with organizational goals. Ensure compliance with HIPAA and healthcare data privacy regulations in all reporting and analysis. Present findings to executives and stakeholders in clear, concise formats (charts, presentations, summaries). Other duties as assigned Requirements: Bachelor's degree in Data Analytics, Business, Healthcare Administration, or related field. 3+ years of experience in data analysis, preferably in healthcare or life sciences. Experience with sales analytics, CRM systems, and healthcare data sets. Strong proficiency in SQL, Excel, and BI tools (Power BI, Tableau). Understanding of healthcare sales cycles, referral networks, and payer/provider dynamics. Excellent communication skills to translate complex data into business insights. Strong problem-solving, organizational, and project management abilities. Must be flexible in work hours Must be able to travel 25%, often without notice We Got the Perks: (available to Full-time employees) Tuition Reimbursement PTO and Paid Holidays Medical, Dental, Vision, Life Insurance, and more HSA & 401(k) available Mileage Reimbursement for applicable positions Advanced training programs Passionate company culture committed to the highest standard of care in the hospice industry Join a Team that embraces the reverence of life! EEOC Statement Bristol Hospice is an equal-opportunity employer. Our success depends upon our ability to create and maintain a diverse and supportive work environment where individuality is promoted. Bristol puts high priority on the worth of every person. We do not base our hiring decisions on race, color, religion, sex, sexual orientation, gender identity, marital status, age, disability, national or ethnic origin, military service status, citizenship, or other protected characteristics.

** Summer 2026 Internship Interviews begin January 2026 | Offers extended in March | Start date projected for May Location: This internship will be based at one of Waystar's four basecamp locations, offering an in-person experience designed to foster collaboration and hands-on learning. **WHAT YOU'LL DO** Waystar is seeking a curious, analytical, and detail-driven Data Analyst Intern to join our Summer 2026 Internship Program. This opportunity is ideal for students who love working with data, uncovering insights, and solving complex problems that drive smarter decisions in the healthcare technology space. As a Data Analyst Intern, you'll collaborate with cross-functional teams to support data-driven initiatives across the organization. What You'll Gain: + Exposure to healthcare data and analytics tools + Hands-on experience with data visualization, reporting, and trend analysis + Opportunities to work on meaningful projects that inform strategic decisions + Mentorship from experienced analysts and collaboration across departments **WHAT YOU'LL NEED** **Program Timeline** The interview process for Summer 2026 internships will begin in **January 2026** , with offers expected to be extended in **March** . Interns will officially onboard in **May** , aligning with the start of the summer program. **ABOUT WAYSTAR** Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle. Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun. Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar (**************************** on Twitter. **WAYSTAR PERKS** + Competitive total rewards (base salary + bonus, if applicable) + Customizable benefits package (3 medical plans with Health Saving Account company match) + We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays + Paid parental leave (including maternity + paternity leave) + Education assistance opportunities and free LinkedIn Learning access + Free mental health and family planning programs, including adoption assistance and fertility support + 401(K) program with company match + Pet insurance + Employee resource groups Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. **Job Category:** Technology/Engineering **Job Type:** Part time **Req ID:** R2768

This position is primarily for educational or religious purposes and should be used for providing valuable educational experiences for the Intern. It is to give the Intern an opportunity to see how principles and practices learned in their educational institutions are applied in actual work setting. Under general supervision, the Intern performs work as assigned by the department. Specific skills used include building Power BI dashboards Writing SQL queries Analyzing data for reporting needs Consolidating and deprecating previous analytic work Documenting meta-data Building machine learning models. Paid Interns are qualified while enrolled in an educational institution and for one year following graduation. They must sign a Paid Internship Engagement Responsibilities may vary by assignment depending on department and need. The Intern receives assignments from supervising staff. The Manager reviews the Intern's work occasionally. The supervisor reviews each assignment as it is completed. The Intern is expected to meet rigid and challenging deadlines, work in harmony with other people, take direction on each assignment, and give full attention to detail. Independence in working, tact, and diplomacy are required. Sound judgment of Church doctrine, history, organization, policy and protocol are also expected.

Responsibilities: Support Demand Team with the Non-Trade Sale (NTS) Volume Planning in Adaptive Model Document the data flow for NTS, Other Packages Volume planning functionality in Adaptive (Including data sources from Snowflake, and user input) Manage master data and dimension hierarchies in Adaptive to be in sync with source systems (some manual and some automated that needs validations) Requirements: Currently pursuing a Bachelor's or Master's degree in computer science or equivalent related program with a graduation date of Aug 2026 or later Understanding of transactional model (SQL table structure) Understanding of star schema modeling (Muli dimensional models) Ability to work with master data elements (dimensions and hierarchies) and transactional data #LinkedIn-DNI #INDEED-DNI

Build and maintain complex data models. * Develop data visualizations and dashboards. * Learn and apply data modeling and engineering principles. * Build data pre-processing and report Automation tools in Snowflake, SQL and Python. * Write extensive documentation for data models, especially your own projects. * Participate in data storytelling projects, turning complex data sets into clear visualizations. * Engage in self-driven learning to enhance skills in data analysis, modelling, and visualization. What We Offer: * 12 - 18 month part-time internship with possible full-time offer upon graduation. * Hands-on experience with industry-leading data modelling/visualization tools. * A collaborative environment to learn and grow your skills. * Opportunity to work on real-world projects and make an impact. * Mentorship and guidance from experienced professionals in the field. Must be able to work 16 - 20 hours a week in the Springville, Utah Office. * Basic ability to analyze data and deliver insights through data manipulation/visualization. * Be familiar with Programming concepts/languages. * Basic understanding of Python & SQL and willingness to learn more. * Self-motivated to learn new skills, identify problems, and create solutions. * A team player who can work well in a multi-role environment. Positive Factors: * Currently in the junior or senior year of an undergraduate program in Information Systems, Data Science, Computer Science, Information Technology, or a related field. * Python proficiency. * Familiarity with SQL and database management systems. * Experience with DBT, Snowflake, and Power BI. * Experience with concepts in physical security and government security clearances.

The Consultant level Data Governance Analyst is responsible for designing, developing, and implementing processes related to metadata management, reference data management and data quality monitoring. This position is expected to have hands-on experience with technology, people and process that are critical for the success of Data Governance program. This position is expected to have an advanced understanding of Data Governance principles and processes. This role will directly report to the Data Governance Manager, performing analysis on a variety of highly complex projects under minimal supervision and typically leading complex initiatives or projects. This role will work Monday-Friday during regular business hours. We are committed to offering flexible work options where approved and stated in the job posting. However, we are currently not considering candidates who reside or plan to reside in the following states: California, Connecticut, Hawaii, Illinois, New York, Rhode Island, Vermont, and Washington. Please note that a video interview through Microsoft Teams will be required as well as potential onsite interviews and meetings. **Essential Functions** This Data Governance Analyst - Consultant position will drive a business‑driven, technology-enabled provider and location master data program. Specific responsibilities include: + Set system‑of‑record/source‑of‑truth strategy; + Identify data owners/stewards, define/approve standards & definitions, and drive adherence-especially for provider/location attributes and code sets. + Align clinical, operations, and analytics stakeholders to a shared roadmap and outcomes; + Facilitate conversations and workshop skills to surface pain points, reconcile definitions, and prioritize use cases + Guide MDM platform and operating‑model decisions to deliver sustainable, measurable outcomes. + Leads and performs the analysis, design, implementation, and ongoing management of Data Governance tools + Identifies data governance requirements by directly interacting with business and technical data users + Designs, coordinates and develops processes related to data ingestion, data lineage, data classification and data search + Collaborates with data subject matter experts to capture the definition of business terms and metrics + Manages data quality use cases and delivers satisfactory data quality monitoring solutions to customers + Leads and coordinates with data subject matter experts on the root cause analysis of detected data quality issues + Builds data mapping across systems to allow semantic comparability and interoperability for operational and analytics projects + Defines and applies best terminology management practices in maintaining reference data for various Intermountain clinical, business and analytical applications + Engages and educates business and technical data users across the enterprise for continuous participation and adherence to key data governance and stewardship policies + Ensures that documentation, data quality, and best practices are followed by teams across the data supply chain as key data assets are optimally leveraged and administered through the Data Governance program + Maintains technical knowledge of data management industry best practices, including those specific to healthcare + Assists in the definition and monitoring of program KPIs and metrics + Trains others on skills and competencies required for essential data governance work and assists with project management to drive timely deliverables **Skills** + Data Cataloging + Data Lineage Analysis + Reference Data Management + Data Quality Management + Data Stewardship Operationalization + Data Modeling + Data Architecture + Data Analysis + Software Development + System Integration + Business Glossary Management + Business Intelligence + Effective Communication + Problem Solving + Creative Thinking **Minimum Qualifications:** + Experience in independently managing and accomplishing key Data Governance work such as data cataloging, data classification, data lineage, business glossary management, and data stewardship operationalization + Experience with system and data integration via API + Experience with major Electronic Health Record (EHR) vended solutions and deep understanding of the backend data architecture and data modeling + Experience with modern enterprise data platforms such as Databricks and knowledge about data warehousing, data lakehouse, and ETL processes + Experience with business intelligence tools and metric definition and calculation + Experience with deploying and maintaining cloud-native applications + Must be able to demonstrate good understanding of how the clinical and administrative data are produced, consumed, and transformed + Experience with implementing enterprise data quality framework + Experience in Data Governance committees and the ability to work effectively with business stakeholders across and at all levels within the organization + Strong presentation skills, particularly in the development of compelling and insightful visual support materials + Proficiency in PowerPoint, Excel, Word, etc. and effective verbal, written and interpersonal communication skills **Preferred Qualifications:** + Experience with MDM + Experience with Data Governance + Experience with Collibra + Interact with others by effectively communicating, both orally and in writing + Operate computers and other office equipment requiring the ability to move fingers and hands. + See and read computer monitors and documents + Remain sitting or standing for long periods of time to perform work on a computer, telephone, or other equipment **Location:** Lake Park Building **Work City:** West Valley City **Work State:** Utah **Scheduled Weekly Hours:** 40 The hourly range for this position is listed below. Actual hourly rate dependent upon experience. $54.12 - $85.20 We care about your well-being - mind, body, and spirit - which is why we provide our caregivers a generous benefits package that covers a wide range of programs to foster a sustainable culture of wellness that encompasses living healthy, happy, secure, connected, and engaged. Learn more about our comprehensive benefits package here (***************************************************** . Intermountain Health is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. At Intermountain Health, we use the artificial intelligence ("AI") platform, HiredScore to improve your job application experience. HiredScore helps match your skills and experiences to the best jobs for you. While HiredScore assists in reviewing applications, all final decisions are made by Intermountain personnel to ensure fairness. We protect your privacy and follow strict data protection rules. Your information is safe and used only for recruitment. Thank you for considering a career with us and experiencing our AI-enhanced recruitment process. All positions subject to close without notice.

For 40 years, Kids on the Move has been a cornerstone of support for families and children across Utah. We've built a legacy based on genuine care, collaboration, and a commitment to continuous improvement in the services we provide. Our team is dedicated to empowering families, and we pride ourselves on creating a supportive environment where both staff and families grow together. The impact we've had on the community over these four decades speaks to our mission of creating lasting, positive change for children and their families. We are seeking a highly motivated and detail-oriented Data Analyst Intern to join our dynamic team. This internship offers a unique opportunity to gain hands-on experience working with large datasets, performing deep analysis, and presenting actionable insights using modern tools and technologies. As a Data Analyst Intern, you will work closely with cross-functional teams and contribute to data-driven decision-making initiatives. You will primarily work with Python for data manipulation and automation, SQL for querying and managing databases, and Domo for data visualization and dashboard creation. Join our team at Kids on the Move and help us continue to empower families, one child at a time.Key Requirements Data Extraction and Analysis: Write complex SQL queries to extract, clean, and manipulate large datasets. Develop Python scripts for automating data preparation and analysis workflows. Conduct exploratory data analysis (EDA) to discover trends, patterns, and insights. Dashboarding and Reporting: Build and maintain dynamic dashboards and reports in Domo. Design intuitive data visualizations to support business strategies and initiatives. Translate business requirements into technical specifications for reporting solutions. Data Management and Quality Assurance: Assist in data validation, integrity checks, and troubleshooting. Document processes, methodologies, and analysis results. Collaborate with Data Engineering and IT teams to ensure data availability and reliability. Collaboration and Communication: Work closely with analysts, business stakeholders, and leadership to understand data needs. Present findings and recommendations clearly and concisely to both technical and non-technical audiences. Participate in team meetings, brainstorming sessions, and knowledge-sharing activities. Qualifications Education: Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Business Analytics, or a related field. Technical Skills: Proficiency in SQL (writing complex joins, subqueries, CTEs). Strong experience with Python (Pandas, NumPy, matplotlib, etc.). Familiarity with Domo or similar BI tools (Tableau, Power BI, Looker). Understanding of data wrangling, cleansing, and ETL processes. Knowledge of data visualization best practices. Soft Skills: Strong analytical and problem-solving skills. Attention to detail and commitment to high-quality work. Excellent verbal and written communication skills. Ability to manage multiple tasks and meet deadlines in a fast-paced environment. Eagerness to learn new technologies and data methodologies. Benefits & Schedule Hands-on mentorship and career development Exposure to real-world business problems and datasets Work alongside an experienced and collaborative team 401(k) contribution after 90 days Employee Assistance Program (EAP) Potential for future full-time employment based on performance Part-time internship In-person preferred

Leverage data from multiple trusted sources to deliver timely, accurate, and actionable insights that support strategic decision-making and drive operational excellence across the organization. Deliver accurate, timely, and actionable insights by integrating data from multiple trusted sources to support strategic decisions and operational excellence. Education: BS/BA Degree in Information Systems, Data Science, or Computer Science or a related field. Experience: Minimum 2 years in multi-system data validation, quality assessment, and dashboard/report configuration. Technical Skills: Intermediate proficiency in Power BI and SQL. Familiarity with data governance frameworks and compliance standards. Preferred: Knowledge of Python/R for advanced analytics. Certifications: Preferred: Microsoft Certified: Data Analyst Associate, CDMP, or equivalent. Soft Skills: Strong problem-solving and debugging abilities. Ability to work independently and collaboratively. Skilled in data storytelling and presentation. Comfortable working in a fast-paced environment with shifting priorities Integrate structured and unstructured data from multiple systems for standardized dashboards and reporting. Perform ad hoc and deep-dive analyses to uncover actionable insights. Validate and maintain data quality, including completeness, reliability, and uniqueness. Develop predictive/statistical models and advanced queries to support business needs. Translate complex data into compelling visualizations and narratives that drive informed decisions. Collaborate with cross-functional teams to understand data needs and deliver tailored solutions Key Competencies Data Understanding: Define data sources, capture methods, and consumption pathways. Data Quality Assessment: Ensure accuracy, validity, and compliance with standards. Data Organization: Model and structure data for accessibility and usability; create data warehouses. Reporting & Storytelling: Build dashboards and reports that are actionable and measurable. Security & Governance: Manage user access, ensure compliance, and provide guidance on data use. Collaboration & Communication: Effectively communicate insights and recommendations to technical and non-technical audiences.

Responsibilities: Support Demand Team with the Non-Trade Sale (NTS) Volume Planning in Adaptive Model Document the data flow for NTS, Other Packages Volume planning functionality in Adaptive (Including data sources from Snowflake, and user input) Manage master data and dimension hierarchies in Adaptive to be in sync with source systems (some manual and some automated that needs validations) Requirements: Currently pursuing a Bachelor's or Master's degree in computer science or equivalent related program with a graduation date of Aug 2026 or later Understanding of transactional model (SQL table structure) Understanding of star schema modeling (Muli dimensional models) Ability to work with master data elements (dimensions and hierarchies) and transactional data #LinkedIn-DNI #INDEED-DNI

Job DescriptionFor 40 years, Kids on the Move has been a cornerstone of support for families and children across Utah. We've built a legacy based on genuine care, collaboration, and a commitment to continuous improvement in the services we provide. Our team is dedicated to empowering families, and we pride ourselves on creating a supportive environment where both staff and families grow together. The impact we've had on the community over these four decades speaks to our mission of creating lasting, positive change for children and their families. We are seeking a highly motivated and detail-oriented Data Analyst Intern to join our dynamic team. This internship offers a unique opportunity to gain hands-on experience working with large datasets, performing deep analysis, and presenting actionable insights using modern tools and technologies. As a Data Analyst Intern, you will work closely with cross-functional teams and contribute to data-driven decision-making initiatives. You will primarily work with Python for data manipulation and automation, SQL for querying and managing databases, and Domo for data visualization and dashboard creation. Join our team at Kids on the Move and help us continue to empower families, one child at a time.Key Requirements Data Extraction and Analysis: Write complex SQL queries to extract, clean, and manipulate large datasets. Develop Python scripts for automating data preparation and analysis workflows. Conduct exploratory data analysis (EDA) to discover trends, patterns, and insights. Dashboarding and Reporting: Build and maintain dynamic dashboards and reports in Domo. Design intuitive data visualizations to support business strategies and initiatives. Translate business requirements into technical specifications for reporting solutions. Data Management and Quality Assurance: Assist in data validation, integrity checks, and troubleshooting. Document processes, methodologies, and analysis results. Collaborate with Data Engineering and IT teams to ensure data availability and reliability. Collaboration and Communication: Work closely with analysts, business stakeholders, and leadership to understand data needs. Present findings and recommendations clearly and concisely to both technical and non-technical audiences. Participate in team meetings, brainstorming sessions, and knowledge-sharing activities. Qualifications Education: Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Business Analytics, or a related field. Technical Skills: Proficiency in SQL (writing complex joins, subqueries, CTEs). Strong experience with Python (Pandas, NumPy, matplotlib, etc.). Familiarity with Domo or similar BI tools (Tableau, Power BI, Looker). Understanding of data wrangling, cleansing, and ETL processes. Knowledge of data visualization best practices. Soft Skills: Strong analytical and problem-solving skills. Attention to detail and commitment to high-quality work. Excellent verbal and written communication skills. Ability to manage multiple tasks and meet deadlines in a fast-paced environment. Eagerness to learn new technologies and data methodologies. Benefits & Schedule Hands-on mentorship and career development Exposure to real-world business problems and datasets Work alongside an experienced and collaborative team 401(k) contribution after 90 days Employee Assistance Program (EAP) Potential for future full-time employment based on performance Part-time internship In-person preferred We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.