Senior Data Analyst

We're growing Our Data Services team is hiring and looking for a talented Senior Data Analyst who is ready to make an impact, grow their career, and work alongside an exceptional group of colleagues.

GOcxm is looking for an experienced Senior Data Analyst to turn GOcxm and client data into insights that drive decisions. This is a hands‑on role. You'll cleanse and organize data, ensure every number is right, build predictive models, lead analytical studies, and tell clear, compelling stories with data for audiences ranging from brand teams to executives. You'll also partner with product and engineering to turn our best analyses into repeatable, productized capabilities within the GOcxm platform.

If you love digging for the insight no one has asked about yet, write Python as comfortably as SQL, and care as much about how data is governed as what it reveals, this role is built for you.

THE ROLE

We're growing Our Data Services team is hiring and looking for a talented Senior Data Analyst who is ready to make an impact, grow their career, and work alongside an exceptional group of colleagues.

GOcxm is looking for an experienced Senior Data Analyst to turn GOcxm and client data into insights that drive decisions. This is a hands‑on role. You'll cleanse and organize data, ensure every number is right, build predictive models, lead analytical studies, and tell clear, compelling stories with data for audiences ranging from brand teams to executives. You'll also partner with product and engineering to turn our best analyses into repeatable, productized capabilities within the GOcxm platform.

If you love digging for the insight no one has asked about yet, write Python as comfortably as SQL, and care as much about how data is governed as what it reveals, this role is built for you.

ABOUT GOcxm

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.

WHAT YOU'LL DO

Data Quality, Cleansing & Preparation

• Cleanse, validate, and organize GOcxm and client datasets (survey, campaign, engagement, field execution, and sales data) into reliable, analysis‑ready form.
• Write efficient, well‑documented SQL and Python (pandas in Jupyter or similar notebooks) for extraction, transformation, and exploration.
• Own data quality: reconcile, validate, and triple‑check every number before it reaches a client or executive.
• Write automated, repeatable data tests and validation checks (e.g., dbt tests, pytest, Great Expectations) so quality is enforced on every run, not checked once by hand.
• Identify data quality issues at the source and work with engineering to fix them upstream rather than patching them downstream.

Analytical Services & Studies

• Lead analytical services and studies for GOcxm and our clients: frame the question, design the approach, run the analysis, and deliver the recommendation.
• Apply sound analytical and statistical methods (segmentation, driver and importance analysis, trend and cohort analysis, test‑versus‑control measurement) to explain what happened and why.
• Build regression and predictive models (e.g., linear and logistic regression, tree‑based models) to forecast outcomes, quantify drivers, and support client recommendations, and explain model results in plain language.
• Dig beyond the brief to surface new insights and opportunities for our clients and for our product.
• Deliver high‑quality work in a fast‑paced environment with tight client and product deadlines.

Reporting & Data Storytelling

• Produce user‑friendly reports, graphs, and data stories that make complex findings clear and actionable.
• Build interactive data apps and prototypes in Streamlit, and dashboards using common BI tools (e.g., Looker Studio, Power BI, Tableau).
• Tailor insights to every level of the organization, from executive summaries for leadership to working sessions with analysts and account teams.
• Present findings directly to internal stakeholders and clients.

Productizing Analytics

• Partner with product and engineering teams to develop analytical procedures and turn repeatable analyses into documented, automated product capabilities.
• Contribute alongside the data engineering team on data warehouse design, including data models, dbt transformations, and metric definitions, so insights scale beyond one‑off studies.