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About the Role
GOcxm is seeking an experienced Senior Data Analyst to transform data into actionable insights that drive business decisions. This role involves data cleansing, organization, predictive modeling, analytical studies, and data storytelling for diverse audiences. You will also collaborate with product and engineering teams to integrate analyses into the GOcxm platform.
Responsibilities
- Cleanse, validate, and organize datasets into a reliable, analysis-ready form.
- Write efficient SQL and Python for data extraction, transformation, and exploration.
- Own data quality by reconciling, validating, and verifying all numerical data.
- Write automated, repeatable data tests and validation checks to enforce quality.
- Identify data quality issues at the source and collaborate with engineering for upstream fixes.
- Lead analytical services and studies, from framing questions to delivering recommendations.
- Apply statistical methods to explain trends and analyze performance.
- Build regression and predictive models to forecast outcomes and quantify drivers.
- Surface new insights and opportunities beyond the initial project scope.
- Deliver high-quality work in a fast-paced environment with tight deadlines.
- Produce user-friendly reports, graphs, and data stories for various audiences.
- Build interactive data apps and dashboards using BI tools.
- Present findings directly to internal stakeholders and clients.
- Partner with product and engineering teams to develop analytical procedures and product capabilities.
- Contribute to data warehouse design, including data models, transformations, and metric definitions.
- Define and maintain consistent KPIs and metric definitions across the platform.
- Handle data with respect for governance, privacy, and contractual obligations.
- Apply appropriate access controls, anonymization, and aggregation practices.
- Use AI tools responsibly to accelerate analysis and coding, ensuring code is reviewable and tested.
- Protect confidential data and be transparent about AI contributions.
Requirements
- 7+ years of professional experience in data analytics, business intelligence, or applied data science.
- Proven track record of delivering analyses that changed business decisions.
- Demonstrated success working in a fast-paced environment with tight deadlines and shifting priorities.
- Strong Python programming for data analysis (pandas, NumPy, Jupyter or similar notebooks).
- Advanced SQL: complex joins, window functions, CTEs, and performance-aware querying.
- Hands-on experience building regression and predictive models in Python (e.g., scikit-learn, statsmodels).
- Experience writing automated data quality tests and validation checks.
- Comfortable using AI coding assistants to generate clean, reviewable code.
- Experience building interactive data apps with Streamlit or similar frameworks.
- Proficiency with at least one common BI tool (e.g., Looker / Looker Studio, Power BI, Tableau).
- Solid grounding in statistics and analytical methods.
- Comfortable working in Git-based workflows: branching, pull requests, code review.
- Excellent written and verbal communication skills.
- Meticulous attention to detail.
- Curious and self-directed.
- Sound judgment with sensitive data and a practical, responsible approach to using AI.
- Collaborative; comfortable working across product, engineering, data engineering, and client teams.
- Knowledge of data warehouse concepts and dimensional modeling (star schemas, fact and dimension tables).
- Data engineering experience, especially with dbt (models, tests, documentation).
- Openness to contributing alongside the data engineering team on warehouse design.
- Experience with Google BigQuery and the broader Google Cloud ecosystem.
- Experience analyzing consumer survey, market research, or campaign and promotion data.
- Familiarity with orchestration tools (e.g., Airflow, Dagster) or CI for analytics code.
- Background in CPG, retail, or marketing technology.
Skills
- Python
- SQL
- pandas
- NumPy
- Jupyter Notebooks
- scikit-learn
- statsmodels
- Streamlit
- Looker Studio
- Power BI
- Tableau
- Git
- dbt
- Google BigQuery
- Google Cloud
- Airflow
- Dagster
Location
- Remote
Work Type
- Full-time
Experience Level
- Senior
- 7+ years
About the Company
- GoCXM is a fast-growing technology company that helps consumer-facing brands deepen relationships with their customers and drive sales performance through a proprietary platform of integrated engagement, analytics, and field execution tools.
- The company positions itself as a unified growth platform for modern CPG brands.
- We work with leading brands to turn marketing campaign and execution data into actionable insights that improve decision-making, strengthen accountability, and demonstrate measurable business impact.