Data Analyst 4

MW Partner; San Jose (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

MW Partner is seeking a data analytics professional to translate ambiguous business questions into measurable frameworks and insights. You will analyze funnel and segmentation data, identify trends, and present actionable recommendations to product, marketing, and leadership.

You will query data from pipelines and flag data-quality issues as needed. The role emphasizes independence, strong SQL skills, experience with large-scale data warehouses like Databricks, and delivering robust dashboards

Qualifications

• Bachelor's degree in a quantitative field required.
• Master's degree preferred in a quantitative or business analytics field.
• 5-7 years of experience in data science or analytics in subscription/self-serve/product-led growth.
• Strong SQL for exploratory analysis.
• Comfort with large-scale data warehouses such as Databricks.
• Solid grounding in dashboarding, BI reporting, funnel/cohort analysis and statistical testing.
• Ability to work independently against ambiguous questions.
• Strong written and verbal communication for presenting findings to non-technical stakeholders.

Responsibilities

• Translate ambiguous business questions into measurable frameworks and insights.
• Analyze Acrobat funnel data (traffic trial/download conversion retention) across surfaces, geos, and plan types to identify trends, anomalies, and opportunities
• Investigate 'why did this metric move' questions through rigorous segmentation and root-cause analysis
• Build cohort and funnel-conversion analyses beyond standard weekly reporting
• Translate findings into clear, actionable recommendations for product, marketing, and leadership stakeholders
• Query and consume data from existing pipelines/warehouses, flagging data-quality issues as needed

Skills

SQL

BI reporting

Funnel analysis

Cohort analysis

Statistical testing

Independent problem solving

Communication

Education

Bachelor's degree in a quantitative field

Master's degree in quantitative/business analytics

Tools

Databricks

Job description

Responsibilities and duties:

• The ideal candidate combines strong analytical skills with business acumen and can independently translate ambiguous business questions into measurable frameworks and insights.


• Analyze Acrobat funnel data (traffic trial/download conversion retention) across surfaces, geos, and plan types to identify trends, anomalies, and opportunities


• Investigate \"why did this metric move\" questions through rigorous segmentation and root-cause analysis


• Build cohort and funnel-conversion analyses beyond standard weekly reporting


• Translate findings into clear, actionable recommendations for product, marketing, and leadership stakeholders


• Query and consume data from existing pipelines/warehouses, flagging data-quality issues as needed

Requirements:

• Bachelor's degree in a quantitative field (Statistics, Computer Science, Economics, Mathematics, Data Science, or related) required


• Master's degree in a quantitative or business analytics field preferred


• 5-7 years of experience in data science or analytics, ideally in subscription, self-serve, or product-led growth businesses


• Strong SQL for exploratory analysis


• Comfort with large-scale data warehouses such as Databricks


• Solid grounding in dashboarding, BI reporting, funnel/cohort analysis and statistical testing


• Ability to work independently against ambiguous, open-ended questions


• Strong written and verbal communication for presenting findings to non-technical stakeholders

For a further discussion or to find out more, contact Amit Kumar on [phone].