What does a Lead Data Analyst do?
A Lead Data Analyst is responsible for managing data systems and ensuring information accuracy to support business operations and requirements. Lead Data Analysts work with system engineers to maintain all the database's safety and security to prevent unauthorized access and potential leak of confidential data. They also conduct data and statistical analysis to design efficient operating systems with maximum optimization. A Lead Data Analyst must have excellent technical and organizational skills, especially in pulling up reports and documents and utilizing computer tools to minimize downtimes and data delays.
Lead data analyst responsibilities
Here are examples of responsibilities from real lead data analyst resumes:
- Manage the transition of the EDI system from GENTRAN to B2Bi.
- Manage the operations and financial accounting team activities relating to the securities trading life cycle.
- Accomplish at designing dashboards and data summaries for technical and non-technical audiences and facilitating implementation of business strategies and missions.
- Create pilot reports that introduce JavaScript through imbed HTML tags.
- Create, assign and validate UNIX groups to different SAS users as per the data governance rules.
- Ensure data integrity and verify all data modifications and calculations during database migration using ETL tools.
- Establish a comprehensive data warehouse infrastructure that enable actionable business insight to be more accurate and objective.
- Participate in DOD contract closeout activities.
- Review of java application code & reports.
- Design and tune complex queries, views, modules, store procedures and triggers.
- Provide daily communications including scrum notes, sprint review reports and project retrospective to product owner.
- Provide team leadership in transitional period (11/09-2/10) and act as team POC for DoD client
- Develop helper APIs of the standard services such as WorkflowService, LifeCycleService and TeamService using EJB2.x.
- Serve as liaison between the scrum team and the client, earning their confidence with reliable follow-through.
- Recruit key development personnel to troubleshoot, resolve issues and identify gaps in the payroll processing system.
Lead data analyst skills and personality traits
We calculated that 12% of Lead Data Analysts are proficient in Analytics, Python, and Power Bi. They’re also known for soft skills such as Creativity, Communication skills, and Analytical skills.
We break down the percentage of Lead Data Analysts that have these skills listed on their resume here:
- Analytics, 12%
Applied Business Analytics to identify gaps in the Surface Distribution Management Systems for global humanitarian relief.
- Python, 9%
Gained excellent knowledge and understanding of advanced predictive models and programming in Python.
- Power Bi, 8%
Created multiple data visualization solution for initial Power BI business preview.
- Data Analysis, 7%
Lead data conversion efforts including TPA Data Analysis, Data Mapping document preparation, Policy/Coverage attachment and Data Quality validation.
- Visualization, 6%
Collaborate with other Engineers to determine reporting and data visualization requirements and develop features that add new functionality to the platform.
- SAS, 4%
Designed the analysis strategy for Customer Satisfaction Survey data and develop SAS macros for automatically reporting process.
Common skills that a lead data analyst uses to do their job include "analytics," "python," and "power bi." You can find details on the most important lead data analyst responsibilities below.
Creativity. The most essential soft skill for a lead data analyst to carry out their responsibilities is creativity. This skill is important for the role because "because analysts are tasked with finding innovative solutions to computer problems, an ability to “think outside the box” is important." Additionally, a lead data analyst resume shows how their duties depend on creativity: "gathered technical requirements and executed solution delivery to automate processes such as inventory classification, product type creation and attribute extraction. "
Communication skills. Another soft skill that's essential for fulfilling lead data analyst duties is communication skills. The role rewards competence in this skill because "analysts work as a go-between with management and the it department and must explain complex issues in a way that both will understand." According to a lead data analyst resume, here's how lead data analysts can utilize communication skills in their job responsibilities: "demonstrate excellent organizational and communication skills (written and verbal) when responding to customer emails and/or phone calls. "
Analytical skills. lead data analysts are also known for analytical skills, which are critical to their duties. You can see how this skill relates to lead data analyst responsibilities, because "analysts must interpret complex information from various sources and decide the best way to move forward on a project." A lead data analyst resume example shows how analytical skills is used in the workplace: "leveraged tableau's data visualization capabilities, while wrangling/munging data from multiple sources, to create integrated view of the business. "
The three companies that hire the most lead data analysts are:
- Deloitte149 lead data analysts jobs
- CDM Smith97 lead data analysts jobs
- Discover65 lead data analysts jobs
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Lead data analyst vs. Etl lead
Business systems senior analysts are responsible for resolving problems and requirements related to organizational information. They perform various duties that include determining operational objectives, designing computer programs, and improving business systems by designing modifications and studying current practices. Additionally, they are responsible for defining project requirements, maintaining user confidence and information confidentiality, and preparing technical reports. These professionals are also expected to maintain their knowledge by participating in professional associations or attending educational workshops. The skills and qualifications required for this position include previous work experience, software design and development, and problem-solving skills.
There are some key differences in the responsibilities of each position. For example, lead data analyst responsibilities require skills like "analytics," "python," "power bi," and "visualization." Meanwhile a typical etl lead has skills in areas such as "informatica powercenter," "hadoop," "onsite," and "repository." This difference in skills reveals the differences in what each career does.
Etl leads earn the highest salaries when working in the health care industry, with an average yearly salary of $110,101. On the other hand, lead data analysts are paid more in the start-up industry with an average salary of $130,678.The education levels that etl leads earn slightly differ from lead data analysts. In particular, etl leads are 5.2% more likely to graduate with a Master's Degree than a lead data analyst. Additionally, they're 1.0% less likely to earn a Doctoral Degree.Lead data analyst vs. Programmer/analyst lead
The duties of an analyst lead depend on one's line of work or industry of employment. Typically, their responsibilities revolve around performing research and analysis, coordinating with different departments to gather leads and data, reviewing findings, and producing reports and presentations for the stakeholders and other higher-ranking officials. Through the results, an analyst lead can provide advice, devise strategies for business optimization, spearhead the development of processes, identify strengths and weaknesses, and offer recommendations on areas in need of improvement. All of this is done while in adherence to the company's vision and mission.
Each career also uses different skills, according to real lead data analyst resumes. While lead data analyst responsibilities can utilize skills like "analytics," "python," "power bi," and "visualization," programmer/analyst leads use skills like "c++," "c #," "project management," and "javascript."
On average, programmer/analyst leads earn a higher salary than lead data analysts. Some industries support higher salaries in each profession. Interestingly enough, programmer/analyst leads earn the most pay in the retail industry with an average salary of $110,090. Whereas lead data analysts have higher pay in the start-up industry, with an average salary of $130,678.In general, programmer/analyst leads achieve lower levels of education than lead data analysts. They're 7.5% less likely to obtain a Master's Degree while being 1.0% less likely to earn a Doctoral Degree.What technology do you think will become more important and prevalent for Lead Data Analysts in the next 3-5 years?
Pavel Chernyavskiy Ph.D.
Assistant Professor of Statistics, University of Wyoming
Lead data analyst vs. Business systems senior analyst
The required skills of the two careers differ considerably. For example, lead data analysts are more likely to have skills like "analytics," "python," "sas," and "data quality." But a business systems senior analyst is more likely to have skills like "project management," "business process," "business analysis," and "scrum."
Business systems senior analysts earn the highest salary when working in the health care industry, where they receive an average salary of $108,902. Comparatively, lead data analysts have the highest earning potential in the start-up industry, with an average salary of $130,678.Most business systems senior analysts achieve a similar degree level compared to lead data analysts. For example, they're 1.5% more likely to graduate with a Master's Degree, and 0.9% more likely to earn a Doctoral Degree.Lead data analyst vs. Analyst lead
Even though a few skill sets overlap between lead data analysts and analyst leads, there are some differences that are important to note. For one, a lead data analyst might have more use for skills like "python," "data quality," "analyze data," and "statistical analysis." Meanwhile, some responsibilities of analyst leads require skills like "project management," "customer service," "excellent interpersonal," and "cloud security. "
In general, analyst leads earn the most working in the finance industry, with an average salary of $110,488. The highest-paying industry for a lead data analyst is the start-up industry.analyst leads reach similar levels of education compared to lead data analysts, in general. The difference is that they're 2.0% more likely to earn a Master's Degree, and 0.0% more likely to graduate with a Doctoral Degree.Types of lead data analyst
Updated January 8, 2025