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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing cloud-based analytics solutions, with a strong focus on data governance, quality, and observability. Proficient in statistical and data analytics, leveraging tools such as Python, SQL, and Azure technologies to drive effective data management and reporting.
Highest-signal resume keywords
Cloud-Based Analytics SolutionsData Migration and ETL/ELTPython ProgrammingSQL Database ManagementAgile Methodologies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalyticsStatistical AnalysisData QualityGovernance PracticesRelational DatabasesData VisualizationMetadata StandardsData MiningAggregationValidation
Soft Skills
Strong CommunicationConsulting SkillsProblem-SolvingAnalytical Skills
Tools & Technologies
Azure SynapseAzure Data FactoryAzure MLDatabricksSnowflakePower BITableauSASAlteryxGitLab
Industry Keywords
Cloud EnvironmentsMulti-Tenant GovernanceData ObservabilityBanking DataMarketing Workflows
Tech Stack
Tools & technologiesAzureCloudETLGreenplumPostgresPythonSparkSQLTableau
About the role
Key responsibilities & impact- Guide teams in designing cloud-based analytics solutions, including tool selection, architecture decisions, and implementation best practices.
- Support the migration of data mining, auditing, aggregation, validation, ETL/ELT, reconciliation, reporting, and visualization use cases.
- Build and deliver enablement artifacts, including documentation, metadata standards, training materials, and access guidance.
- Proactively identify and remove technical roadblocks to keep migrations moving forward.
- Partner with technology teams to ensure critical data assets are well-managed, reliable, and supported by clear SLAs.
- Contribute to and evolve governance practices for multi-tenant cloud environments, including source control, data quality, and observability.
Requirements
What you’ll need- Bachelor’s degree in a related field, or equivalent work experience.
- Six to eight years of statistical and/or data analytics experience
- Strong communication, consulting, problem-solving, and analytical skills.
- Experience working in agile environments.
- Experience with Python, SQL, Spark, Databricks, Snowflake, Azure Synapse, Azure Data Factory, or Azure ML.
- Familiarity with SAS, Alteryx, Power BI, Tableau, marketing workflows, and banking data.
- Knowledge of data quality, observability, metadata, and governance practices.
- Experience with relational databases such as DB2, Postgres, Greenplum, SQL Server, or Azure databases.
- Experience with GitLab or GitHub.
Benefits
Comp & perks- Healthcare (medical, dental, vision)
- Basic term and optional term life insurance
- Short-term and long-term disability
- Pregnancy disability and parental leave
- 401(k) and employer-funded retirement plan
- Paid vacation (from two to five weeks depending on salary grade and tenure)
- Up to 11 paid holiday opportunities
- Adoption assistance
- Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
