- Search jobs
- Oakland, CA
- sql data analyst
Sql data analyst Jobs in Oakland, CA
Create a job alert for this search
Sql data analyst • oakland ca
- Promoted
Data Analyst
Diligente TechnologiesSan Francisco, CA, US- Promoted
Data Analyst
University of California - San Francisco Campus and HealthSan Francisco, CA, United States- Promoted
Data Analyst
Axelon Services CorporationOakland, CA, US- Promoted
Data Analyst
Nomadz LLCSan Francisco, CA, United States- Promoted
Data Analyst
VirtualVocationsOakland, California, United States- Promoted
Data Analyst
Habitat HealthSan Francisco, CA, USData Analyst
Success CentersOakland, California, USA- Promoted
Data Analyst
WilioT LtdSan Francisco, CA, United States- Promoted
Data Analyst
Berkshire Hathaway Homestate CompaniesSan Francisco, CA, United States- Promoted
Data Scientist : Tell Data Stories with SQL & Python
KikoffSan Francisco, California, United States- Promoted
Data Analyst
WindfallSan Francisco, CA, US- Promoted
Data Analyst
Neuroverse Healthtech LimitedSan Francisco, CA, United StatesData Analyst
JiffySan Francisco, California, United States- Promoted
Data Analyst
Two Dots IncSan Francisco, CA, United States- Promoted
SQL DBA / Systems Analyst
Contact Government Services, LLCSan Francisco, CA, US- Promoted
Data Analyst
BaseTen Labs, Inc.San Francisco, CA, United States- Promoted
Data Analyst
LucidLink Corp.San Francisco, CA, United States- Promoted
Data Analyst
Windfall Data, Inc.San Francisco, CA, United StatesData Analyst
HealthSan Francisco, California, USAThe average salary range is between $ 87,750 and $ 110,000 year , with the average salary hovering around $ 87,750 year .
- forensic pathologist (from $ 206,579 to $ 328,151 year)
- psychiatrist (from $ 125,000 to $ 245,000 year)
- business architect (from $ 148,500 to $ 238,000 year)
- principal software engineer (from $ 147,875 to $ 236,075 year)
- procurement director (from $ 142,992 to $ 235,000 year)
- flooring installer (from $ 46,800 to $ 234,000 year)
- associate dentist (from $ 150,000 to $ 226,316 year)
- data architect (from $ 141,375 to $ 226,000 year)
- data scientist (from $ 119,925 to $ 226,000 year)
- Newark, NJ (from $ 130,000 to $ 190,320 year)
- Richmond, VA (from $ 87,019 to $ 187,500 year)
- Richmond, CA (from $ 87,019 to $ 187,500 year)
- Salt Lake City, UT (from $ 80,000 to $ 158,325 year)
- Kansas City, MO (from $ 81,250 to $ 156,000 year)
- Oklahoma City, OK (from $ 80,000 to $ 156,000 year)
- West Valley City, UT (from $ 78,000 to $ 156,000 year)
- New York, NY (from $ 88,140 to $ 154,300 year)
- Jersey City, NJ (from $ 80,000 to $ 154,300 year)
- Orange, CA (from $ 70,000 to $ 150,000 year)
The average salary range is between $ 77,499 and $ 126,740 year , with the average salary hovering around $ 97,399 year .
Related searches
Data Analyst
Diligente TechnologiesSan Francisco, CA, US- Full-time
Job Description
Title : Technical Data Analyst
Location : San Francisco, CA( Hybrid)
Contract
We are seeking a 10+ years’ experience Technical Data Analyst with strong expertise in SQL and Python, hands-on experience with modern data platforms, and the ability to translate complex data into trusted, actionable insights. This role will work closely with engineering, product, and business stakeholders to support analytics, reporting, and data-driven decision-making at scale.
Key Responsibilities
- Write complex, high-performance SQL queries to analyze large, structured and semi-structured datasets
- 8-10 years of software development and deployment experience with at least 5 years of hands-on experience with SQL, Databricks, ADF, Datastage (or other ETL tool), SSAS cubes, Cognos, Tableau, Thoughtspot and other BI tools
- Write SQL for processing raw data, kafka ingestions, adf pipelines, data validation and QA
- Knowledge working with APIs to collect or ingest data
- Use Python for data analysis, automation, validation, and lightweight data engineering tasks
- Build, enhance, and maintain dashboards and reports using Tableau and ThoughtSpot
- Partner with data engineers to design, validate, and optimize ETL / ELT pipelines
- Work extensively with Databricks (Spark, notebooks, Delta tables) for data exploration and analytics
- Perform data quality checks, reconciliations, and root-cause analysis to ensure data accuracy and consistency
- Translate business requirements into technical data solutions and semantic layers
- Support self-service analytics by documenting datasets, metrics, and business definitions
- Collaborate across teams to troubleshoot data issues and improve reporting performance
Required Qualifications
Preferred Qualifications
What Success Looks Like