Sr Enterprise Data Analyst

Our mission is to SAVE AND IMPROVE LIVES BY EMPOWERING HEALTHCARE CONSUMERS. Come be part of remarkable.

How you can make a difference

We are looking for a Senior Enterprise Data Analyst who will be reporting directly to our Manager, Data Engineering. This position is responsible for driving the wholistic process of business analytical enablement by engaging with key stakeholders to identify data needed to support key use cases, integrating data from multiple platforms, designing data structures, defining and prototyping business logic, and validating results. The skills required are a unique blend of diverse problem-solving capabilities including analyst, data designer, data engineer, and quality assurance with broad latitude for decision making and solutioning. This senior level position will collaborate with business areas, project teams, and engineering teams to ensure high quality delivery of data focusing on innovation and creativity, enabling value-add to the business on large scale efforts.

What you'll be doing

Note:The essential duties and primary accountabilities below are intended to describe the general content of and requirements of this position and are not intended to be an exhaustive statement of duties. Although all the functions listed here are essential, the extent to which a team member may engage in these activities may vary day-to day. Predictable and reliable attendance is an essential function. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions as described.

Drive completion of data projects and deliverables including the execution of highly complex data solutions while demonstrating best practices, processes and standards for user story development, data analysis, architecture, modeling, design, coding, and testing.

• Lead or assist in the development, documentation, and maintenance of the enterprise data architecture and its deliverables including the design principles, models, and mappings for transactional and analytical systems serving both strategic and tactical needs.

• Work closely with the business, mapping their most pressing business problems to data and analytic solutions.

• Develop data models and data transformation logic. Work with data engineers to implement data pipelines.

• Prototype data solutions to enable the measurement or monitoring of key performance indicators.

• Collaborate with senior management to understand data needs in support of departmental goals.

• Partner with product owners and managers in developing scope, dependencies, estimates, project plans, schedules, status reporting, and issue/risk management.

• Become the subject matter expert in multiple data domains.

• Responsible for defining company standards around data quality.

• Maximize opportunities to implement self-service to allow the business to find the data they need quickly, easily and accurately.

• Enable data science team to build ML models by designing and providing high quality data.

• Establish and maintain effective and positive relationships with internal and external customers.

What you will need to be successful

• BS degree in Computer Science, Engineering, Mathematics, or a related field and 8 years of work experience.

• Advanced knowledge in translating business rules to technical data requirements.

• Advanced SQL knowledge.

• Expertise in building data warehouses.

• Advanced knowledge of user story development, data warehouse design and modeling (3rd normal form and dimensional modeling), data integration design and development and/or performance tuning.

• Excellent skills in coordination with multiple teams for project execution and issue resolution.

• Demonstrated oral/written communication and presentation skills to effectively communicate complex technical information while inspiring and motivating others.

• Advanced problem solving and troubleshooting skills.

• Advanced knowledge of work estimation, design review, code review and data testing techniques.

• Willingness to play multiple roles for different projects, e.g., data analyst, developer, tester, etc.

• Advanced knowledge of big data platforms (e.g., DataBricks, Delta Lake, Apache Spark, Snowflake, Redshift).

• Experience with Relational Database Management Systems (e.g., Azure SQL, SQL Server, Oracle, MySQL) and NoSQL databases (e.g., MongoDB).

• Knowledge of ETL processing tools (e.g., DBT, Databricks, Python).

• A commitment to data security and privacy.

The actual compensation offer is determined based on job-related knowledge, education, skills, experience, and work location. This position will be eligible for performance-based incentives and restricted stock units as part of the total compensation package, in addition to a full range of benefits including:

• Medical, dental, and vision

• HSA contribution and match

• Dependent care FSA match

• Uncapped paid time off

• Adventure accounts

• Paid parental leave

• 401(k) match

• Personal and healthcare financial literacy programs

• Ongoing education& tuition assistance

• Gym and fitness reimbursement

• Wellness program incentives

Why work with HealthEquity

HealthEquity has a vision that by2030 we will make HSAs as wide-spread and popular as retirement accounts. We are passionate about providing a solution that allows American families to connect health and wealth. Join us and discover a work experience where the person is valued more than the position. Click here to learn more.

You belong at HealthEquity!

HealthEquity, Inc. is an equal opportunity employer, and we are committed to being an employer where no matter your background or identity - you feel welcome and included. We ensure equal opportunity for all applicants and employees without regard to race, age, color, religion, sex, sexual orientation, gender identity, national origin, status as a qualified individual with a disability, veteran status, or other legally protected characteristics. HealthEquity is a drug-free workplace. For more information about our EEO policy, or about HealthEquity's applicant disability accommodation, drug-free-workplace, background check, and E-Verify policies, please visit our Careers page.

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