Data Engineering Business Analyst
Company: Cooley LLP
Location: San Diego
Posted on: March 15, 2025
Job Description:
Data Engineering Business AnalystCooley is seeking a Data
Engineering Business Analyst to join the Data Science & Engineering
team.Position summary: As the leading technology law firm in the
world, Cooley is determined to become a leader in the digital
practice of law. Reporting to the Director of Data Science, the
Data Engineering Business Analyst will focus on data engineering
analysis to support a data lake rollout and data migration
initiative. This role will be responsible for collaborating with
stakeholders to understand data requirements, document business
needs, and translate them into actionable technical specifications.
This role is crucial to ensuring the successful migration and
integration of data while maintaining data quality, governance, and
compliance standards. Specific duties and responsibilities include,
but are not limited to, the following:Position
responsibilities:
- Collaborate with business stakeholders and clients to
understand data requirements, objectives, and priorities for the
migration project
- Conduct data analysis and profiling to gain insights into data
pipelines, structures, and quality
- Document and prioritize business needs and requirements for the
data lake and data migration
- Translate business requirements into detailed technical
specifications and user stories for data engineering and
development teams
- Partner with data engineers and architects to design and
implement data pipelines, ETL processes, and data
transformations
- Perform data validation, testing, and quality assurance to
ensure accuracy, completeness, and consistency of migrated
data
- Support business users and stakeholders during user acceptance
testing (UAT) and post-migration activities
- All other duties as assigned or requiredSkills and
experience:Required:
- After orientation at Cooley LLP, exhibit proficiency in the
Microsoft Office suite, iManage and other firm applications
- Ability to work extended and/or weekend hours, as required
- Ability to travel, as required
- 3+ years of experience as a Business Analyst with a focus on
data engineering, analysis, and requirements gathering for data
migration projects
- Senior candidates must have 5+ years' directly applicable
experience
- Strong understanding of data engineering concepts,
methodologies, and tools, with hands-on experience with data
lakehouses (e.g., Databricks, Snowflake, Azure Data Lake, Azure
Data Factory, etc)
- Proficiency in SQL for data analysis, manipulation, and
querying
- Familiarity with data governance and metadata management
tools
- Exposure to cloud tools and integrations, particularly in
enterprise-scale data management platforms.
- Understanding of relational, dimensional, and columnar data
models
- Working knowledge of reporting tools such as Microsoft Power
BI, Jupyter Notebooks, and similar platformsPreferred:
- Bachelor's or Master's degree in Computer Science, Information
Systems, or a related field
- Professional certifications related to Azure, Snowflake or
Databricks integration
- Experience with Agile methodologies and project management
practices
- Knowledge of performance tuning for large data volumes and
enterprise-scale datasets
- Familiarity with Delta Live Tables, Databricks Unity Catalog,
and other Databricks advanced featuresCompetencies:
- Comfortable assuming leadership roles in cross-functional,
matrixed teams
- Excellent communication and interpersonal skills, with the
ability to translate complex technical concepts to non-technical
audiences
- Ability to influence and collaborate with multiple stakeholders
across various departments (legal, IS, etc.)
- Strong analytical and critical thinking skills
- Strong written and verbal communication skills to collaborate
with cross-functional teams and non-technical stakeholders
effectively
- Ability to work independently and as part of a team in a
dynamic, fast-paced environment
- Excellent analytical and problem-solving skills with attention
to detailCooley offers a competitive compensation and excellent
benefits package and is committed to fair and equitable employment
practices.EOE.The expected annual pay range for this position with
a full-time schedule is $100,000 - $145,000. Please note that final
offer amount will be dependent on geographic location, applicable
experience and skillset of the candidate. Senior level candidates
may be considered for this position and would be eligible for a
higher salary range based on experience.We offer a full range of
elective benefits including medical, health savings account (with
applicable medical plan), dental, vision, health and/or dependent
care flexible spending accounts, pre-tax commuter benefits, life
insurance, AD&D, long-term care coverage, backup care for
children and/or adults and other parental support benefits. In
addition to elective benefit options, benefited employees receive
firm-paid life insurance, AD&D, LTD, short term medical
benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid
holidays each year. We provide generous parental leave and
fertility benefits. New employees will attend a detailed benefit
orientation to learn more about our many benefits and
resources.
Keywords: Cooley LLP, San Diego , Data Engineering Business Analyst, Engineering , San Diego, California
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