Senior Analyst Customer Insights
Senior Analyst Customer Insights
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Job Description
We are looking for a versatile analytics professional who thrives at the intersection of business and data engineering. We are a team that moves quickly and relies on each other to think independently work autonomously handle ambiguity and solve hard problems. You can move seamlessly between exploring customer behavior data building analytical logic and advising senior leaders on what to do next. Youre equally comfortable diving deep into SQL as you are presenting insights to executive stakeholders. If you are passionate about developing customer-centric analytics methodologies to help the worlds most loved brands use their data to better serve their customers and you are looking for a fast-paced friendly and fun place to work you should apply!
Responsibilities
Develop customer-centric analyses and solve challenging problems from a variety of consumer verticals.
Consult with leaders from major consumer brands to identify trends opportunities and valuable segments that help them drive and measure incremental growth.
Support GTM teams selling motion with your deep analytics expertise generating insights that showcase the value from Customer Data Platforms (such as Amperity Segment Redpoint etc.)
Collaborate with cross-functional teams to scope and execute projects that connect data strategy analytics and activation.
Build KPIs/metrics by applying data transformation techniques such as aggregation resampling filtering etc.
Design and implement data workflows and pipelines that prepare transform and optimize customer data for analysis.
Develop and maintain key business metrics and dashboards using modern BI tools ensuring consistency and accuracy across data sources.
Document and automate repeatable analytical processes leveraging SQL Python and cloud data platforms (Snowflake BigQuery Redshift) to scale insights delivery.
Qualifications :
Minimum 4 years experience in a consulting business analytics or data science role
preferably working with customer behaviour data for a direct-to-consumer business
Demonstrated ability to independently plan and execute repeatable analyses and
recommend actionable strategy for a variety of industries
Strong communicator who easily bridges the gap between data and business owners
Excellent SQL skills with experience using statistical computer languages (Python R
PySpark etc.) to manipulate data and draw insights from large datasets
Working proficiency with Python (experience with dbt PySpark or similar frameworks preferred)
Hands-on experience with data modeling transformation and pipeline orchestration
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
