We are looking for a Data Analyst with strong SQL skills and a solid understanding of data concepts to support data analysis, data mapping, and data review initiatives. This role focuses on ensuring data quality, understanding data lineage, and working closely with business and technology teams to improve data processes and deliverables.
The ideal candidate will have hands-on experience with data analysis and the ability to interpret, validate, and connect data across systems, particularly in regulated environments.
Key Responsibilities:
Analyze and review datasets to ensure quality, consistency, and accuracy
Write and validate SQL queries to support data analysis and business needs
Perform data mapping and lineage analysis to understand how data flows across systems
Partner with business stakeholders to understand requirements and validate data outputs
Identify data issues, inconsistencies, and gaps, and recommend improvements
Support regulatory and compliance-related data deliverables
Work with data consumers to enhance existing processes and reporting
Collaborate with technology teams on data-related initiatives
Document data definitions, mappings, and transformations
Primary Skill Requirements:
Strong working knowledge of SQL (not expert level, but hands-on and confident)
Experience in Data Analysis and Data Review
Understanding of Data Mapping and Data Lineage
Solid grasp of data concepts and business context of data
Secondary (Preferred) Skills:
Basic understanding of Data Governance principles
Exposure to Compliance and Regulatory frameworks
Familiarity with ETL processes, cloud platforms, and databases
Experience with financial reporting data (preferred)
Exposure to tools like Collibra or other data lineage/governance tools
Basic understanding of visualization tools like Tableau (focus on data, not tool expertise)
Additional Qualifications:
Strong analytical and problem-solving skills
Excellent communication and stakeholder management skills
Ability to work with both business users and technical teams
Good Excel skills:
Key Success Factors:
Ability to understand data deeply, not just tools
Strong focus on data quality, validation, and issue identification
Capability to translate business requirements into data insights and mappings
Experience handling regulated or compliance-driven data environments
Team & Structure:
Notes for Hiring / Shortlisting:
Prioritize candidates with strong SQL + data understanding over tool-heavy profiles
Regulatory or compliance exposure is a strong differentiator
Look for candidates who can explain data flows and lineage clearly
Immediate profiles required
Must have skills:
Good to have skills:
The pay range that the employer in good faith reasonably expects to pay for this position is $26.58/hour - $41.53/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.
Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.
