Data Analyst IV

Job#: 3021688

Job Description:

Job Title: Data Analyst IV

Location: Burbank, CA - hybrid

Contract Duration: 10 months

Pay Rate: $83.30/hr

What We Do/Project

The Senior Data Analyst plays a pivotal role in shaping that foundation-translating product requirements into robust, scalable data models that serve both immediate application needs and long-term analytical and AI objectives.

Embedded within the Platform Pod, this role works closely with Application Designers, Platform Engineers, the Senior Data Architect, and product-aligned pods to ensure application-specific data models integrate seamlessly with the enterprise data platform. They act as the primary bridge between feature-level requirements and platform-level data strategy-ensuring reusability, governance compliance, and analytical readiness.

Job Responsibilities / Typical Day in the Role

Lead Data Analysis for Application & Platform Alignment

Translate product features and user stories into well-defined data model requirements that support application workflows and downstream analytics.

Partner with Application Designers and Engineers to profile, assess, and validate source data, ensuring it meets both functional and non-functional requirements.

Collaborate with the Senior Data Architect to align application data models with canonical and semantic models across domains.

Ensure Long-Term Analytical & AI Enablement

Design data structures and pipelines that serve both operational application needs and future analytical/AI use cases.

Anticipate and define data capture, transformation, and enrichment requirements to support predictive modeling, forecasting, and advanced analytics.

Recommend optimizations that improve data quality, timeliness, and completeness for decision-making.

Governance, Quality, and Documentation

Partner with enterprise data governance teams to apply metadata, lineage, and access control standards.

Define and execute data validation, profiling, and reconciliation processes to ensure trusted results.

Maintain documentation of data definitions, mapping specifications, and lineage diagrams for both applications and analytical datasets.

Cross-Pod Collaboration and Mentorship

Lead cross-pod workshops to resolve semantic conflicts, promote reusable data assets, and ensure consistent application of standards.

Mentor junior analysts and support teams in data discovery, mapping, and quality assessment best practices.

Represent the Platform Pod's data perspective in architecture boards, product councils, and design reviews.

Must Have Skills / Requirements

1) Proven expertise in data modeling techniques (relational, dimensional, wide-table for ML, data vault) and mapping business processes to data structures.

a. 7-10+ years of experience

2) Strong proficiency in SQL, data profiling, and transformation tools (e.g., dbt, Informatica, AWS Glue).

a. 7-10+ years of experience

3) Familiarity with distributed data processing and analytics platforms (e.g., Snowflake, Databricks, AWS-native analytics stack).

a. 7-10+ years of experience

4) Experience Translating product features and user stories into well-defined data model requirements

a. 7-10+ years of experience

Functional Knowledge / Skills in the following areas:

1) You'll thrive in this role if you:

a. Think in Domains and Products - You design data solutions that reflect business semantics and scale across use cases.

b. Bridge Technical and Business Worlds - You can translate analytical needs into technical specifications and vice versa.

c. Govern Through Enablement - You make governance easy to adopt by embedding it directly into design and workflows.

d. See Beyond the Immediate - You anticipate future analytical and AI needs when designing today's application data structures.

e. Collaborate to Elevate - You work across functions to raise the quality, reusability, and reliability of data.

2) What You'll Bring:

a. Excellent communication and facilitation skills to influence design decisions across product, platform, and governance teams.

Technology Requirements:

1) Proven expertise in data modeling techniques (relational, dimensional, wide-table for ML, data vault) and mapping business processes to data structures.

2) Strong proficiency in SQL, data profiling, and transformation tools (e.g., dbt, Informatica, AWS Glue).

3) Experience in data quality frameworks, validation automation, and reconciliation methods.

4) Familiarity with distributed data processing and analytics platforms (e.g., Snowflake, Databricks, AWS-native analytics stack).

5) Demonstrated ability to align cross-team requirements into unified, reusable, and governed data solutions.

6) Experience Translating product features and user stories into well-defined data model requirements

EEO Employer

Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .

Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Apex uses a virtual recruiter as part of the application process. Click for more details.

Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide.