Data management associate job description

You are a driven and motivated problem solver ready to pursue meaningful work. You strive to make an impact every day & not only at work, but in your personal life and community too. If that sounds like you, then you've landed in the right place.

Technology & Data Associate, Early Career Leadership Development Program (ECLDP) Are you a high performing student? Have you demonstrated leadership? Are you ready to make a difference? Join an exciting and inclusive work environment where your work matters and we put the customer at the center of all we do. You will develop critical leadership and functional skills in areas such as IT engineering, application development, cyber security and compliance, data analysis, AGILE, Dev Ops, and IT business analysis. ECLDP is a three-year talent development program based on formal and experiential learning with coaching, mentoring and feedback for leadership development. What's in it for you? • Rotation assignments designed to build technical acumen, technical solution delivery skills and industry knowledge; includes one six month Field Office rotation (Travel required; generally outside of CT) • Early career cohort for partnership and support • Access to supplemental project work • Structured learning curriculum for career foundation and functional, role-based skills • Exposure to leader talent at all levels • Access as candidates to key technology and data roles within The Hartford as transition to program graduation What is The Hartford looking for? • Students expecting to graduate in January or May with a Bachelor's degree in Computer Science, Engineering, Information Technology, or Management Information Systems majors. Open to other majors with demonstrated technical experience (ex: Applied Mathematics, Statistics and Economics) • A cumulative GPA of 3.2 or higher at the time of graduation • Must have a record of high achievement, analytical thinking, initiative and process improvement • Evidence of technical aptitude; hands on experience or relevant coursework • Demonstrate strong communication, change agility and team skills • Ability to analyze and reason through complex problems and make sound recommendations in a fast-paced environment • Leadership experience outside of the classroom The Hartford does not provide sponsorship for this position.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$62,640 - $93,960

Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Culture & Employee Insights | Diversity, Equity and Inclusion | Benefits

Ops & Tech LDP - IM08BE
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Skills:

The data management specialist plays a key role in implementing and delivering high quality analytics through the MyRxConsultant platform. As a member of the MyRxConsultant development team, you will work alongside a team of developers, data analysts, product managers as well as healthcare/finance/IT professionals. Our goal is to empower our clients to make data-driven decisions to better manage their pharmacy benefits.
Key responsibilities will include the following:


Create and track implementation plans Manage and track data sources, communicating with account managers or clients when data quality issues arise Cleanse, enrich, and consolidate data using tools such as SQL and the Microsoft Suite Document data sources and quality issues Assist with analytic services associated with the analysis of client pharmacy claims data As required, assist developers and data analysts with new features, such as data visualizations & customized reporting



Applicants' Requirements/Qualifications



Bachelor's degree with coursework in STEM, accounting, business, or finance Desire & ability to learn SQL, which may be demonstrated by basic knowledge of any programming language through work experience, education, or online certificates - *please submit code samples* Good technical communication skills, including the ability to write clearly and succinctly - *please submit writing samples* Collaboration skills, including the ability to seek assistance when needed and help others Ability to multi-task & prioritize Proactive & detail oriented personality thereby promoting a culture of ownership, as well as taking on new opportunities and challenges with a sense of urgency and enthusiasm



Desired Skills/Experience


The ideal candidate may demonstrate the following skills or experience:


Experience and knowledge of pharmacy benefits, PBM operations, or health insurance, including experience with pharmacy claims data SQL programming experience or another language such as Python, R, C++, Java, or SAS Familiarity with Microsoft Suite, including Outlook, Word, Excel Experience and knowledge of life sciences Experience with databases or other IT experience Analytical, financial, or statistical skills & knowledge Project management or leadership experience


Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)

Stax Inc., a global strategy consulting firm serving industry-leading corporate and private equity clients, is expanding our Data Science team. Stax is a fast-paced firm, where actionable results and quality work are valued, and time spent on client sites is kept to a minimum. At all levels of the organization, our people are bright, driven, and able to excel.

During your time at Stax, you'll consistently face intellectually challenging projects with clients that range from Fortune 500 companies to the largest LBO firms globally. Working across a wide spectrum of industries on short-term engagements designed to last 4-12 weeks, you'll gain new hand-on experiences with each project you encounter.

At Stax, you'll also have incredible opportunities to build your consulting career. Our staff works side by side with-and learns from-some of the smartest people in the business. Our entrepreneurial approach to work and broad client base creates immediate opportunities for client exposure, providing enormous potential for career progression. Associates work directly with all levels of the firm to diagnose our clients' most pressing issues while identifying new opportunities for value creation and accelerating growth.

Life at Stax is unique - our goal is to empower and challenge employees, while supporting a reasonable work/life balance. No question: you'll work hard. However, unlike other firms where you might uproot your life for weeks or months at a time, our team spends far less time on the road. As such, creating time for professional and personal development, allowing great people and teams to grow as well as get involved in our communities.

Our entire staff is intelligent, innovative and - most importantly - willing to roll up their sleeves. If you're willing to dive in, work with talented team members and drive impact from day one, Stax is the perfect environment for you.

At Stax, we have a clear mission: to be the place where a diverse mix of talented people want to come, to stay, and do their best work. From such diversity and inclusion comes our unique innovation and actionable insights.
WHY STAX
High-profile engagements with the largest and most recognizable private equity firms globally, the leadership teams of their PE-backed companies, hedge funds, and investment banks. Front-line exposure and leadership roles with our action-oriented, non-bureaucratic client base across sectors and project types. Immersive learning opportunities in a fast-paced environment. Content-focused environment which can nourish your analytically driven opinion. Associates, consultants, and managers are supported by our unique business model with integrated international teams that deliver research, data, analysis, and overnight support to allow you more time to think. Opportunities for personal growth and career development based on the merits of your work - the chance to have more than a 2-3-year stint - real upward mobility. Good people who genuinely care about the firm's success and are consistently exploring ways to improve and build upon its accomplishments. Exposure to data from different industries (consumer goods, healthcare, financial services, etc.), different business departments (operational data, financial data, transactional data, marketing data). Use and master a broad set of analytical tools (Excel, Python and R, dashboarding tools like Power BI, cloud-based tools, etc.).
Competitive compensation that rewards strong performance and solid career development through mentorship and coaching opportunities. In addition, we offer comprehensive benefits including medical, dental, and vision coverage for you and your family, 401(k) savings plan with company matching, 3 weeks of vacation, life and disability insurance, generous parental leave, pre-tax transit benefits, mobile phone stipend, wellness reimbursement, charitable gift matching, and more.
Responsibilities
As a Data Science Associate, you will be part of our client engagements working closely with project teams to identify data needs, sources, and structure to support client issues, and to support private equity clients in better understanding and valuing potential investments. You will utilize rigorous business analytics, statistical models, and data science to identify actionable insights and ultimately develop strategic plans from this information to help our clients grow organically and make better investment decisions.
You will help summarize and present key findings, and work closely with managers and directors to convert your team's findings into valuable insights and actionable recommendations. You will support work streams, modules, and - after a period of time - own work streams. You will have exposure to a broad array of client needs and industries.
Specific responsibilities will include:
Conduct in-depth business research and analysis in support of client business objectives. Work closely with project leads to design and structure research and analysis plan for project work, gather data, perform analysis and interpret the outcomes. Perform rigorous economic and business analysis including but not limited to market sizing, forecasting growth, customer segmentation, lifetime value, and supply/demand studies.
Perform data extraction, quantitative analysis, multivariate regression and predictive modeling on large data sets and data streams using various statistical programming languages
Leverage machine learning techniques such as clustering, decision trees and association rule mining to extract knowledge from data. Develop and test custom modeling, evaluate and select sampling methods and design experiments.
Qualifications
Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Data Science, Economics, Financial Analysis, Business Analysis, or a related quantitative discipline. A Bachelor's degree with an appropriate certification in Data Science will also be considered. 1-2 years of data analytics experience preferably with a strategy consulting firm, strategic planning/corporate strategy group or private equity/venture capital firm. Experience in building statistical models using SAS, STATA, Matlab, Python or R. Familiarity with open-source data manipulation languages such as Python and R. Excellent strategic thinking, understanding of business research and analysis. Proven written, verbal and presentation skills that demonstrate the ability to frame ideas that capture appropriate details and structure output logically and persuasively. Detail oriented and proven ability to multitask and work in a fast-paced, time-sensitive environment. Demonstrated proficiency in advanced Microsoft Excel and PowerPoint functions.
PREFERRED QUALIFICATIONS
Demonstrated experience in performing rigorous economic and business analysis including but not limited to market sizing, forecasting growth, customer segmentation, lifetime value and supply/demand studies. Demonstrated experience and proficiency in large data manipulation in Python.