Senior Data Analyst
Budget: $15 – $25 USD
Looking for INDIVIDUAL full-time freelancers for our Enterprise Client.
Project Duration - 3 months
Timezone- Berlin Timezone
Remote / WFH
SENIOR DATA Analyst
Responsibilities
Be a primary point of contact for all product/consumer analytics with clear understanding of the product and business needs.
Maintain the product data landscape and consistently seek opportunities to enhance understanding of customers, market and product fit.
Ensure tracking, stitching and reporting of marketing data and provide a clear understanding of customer acquisition process and cost.
Model consumer behavior and build user persona using product usage / transaction data (click stream etc.)
Drive product strategy by defining hypothesis, designing experiments and perform A/B testing to continuously optimize product features/consumer behavior and metrics.
Collaborate with the BI team to build standardized business insights such as cost / revenue reports, sustainability metrics etc.
Required Profile
Have managed end-to-end product / data analytics for digital products (mobile apps, websites) covering from data acquisition to reporting and marketing analytics
Handled at least three detailed business analysis/intelligence domain projects such as product performance analytics, user analytics, marketing analytics, sales / transaction analytics & reporting etc.
Preferably, have experience in setting up and managing a team of analyst with common best practices for product analytics
Experience in Python for data analytics and hands on experience in BI tools (we use PowerBI) is highly preferred.
Have worked with product analytics tool sets (GA, MixPanel etc.) and have in-depth knowledge on their integration in digital products (mobile apps)
Knowledgeable in applied statistical methods, visualization, database queries and leveraging Excel / PowerPoint / dashboards for communication to stakeholder.
Project Duration - 3 months
Timezone- Berlin Timezone
Remote / WFH
SENIOR DATA Analyst
Responsibilities
Be a primary point of contact for all product/consumer analytics with clear understanding of the product and business needs.
Maintain the product data landscape and consistently seek opportunities to enhance understanding of customers, market and product fit.
Ensure tracking, stitching and reporting of marketing data and provide a clear understanding of customer acquisition process and cost.
Model consumer behavior and build user persona using product usage / transaction data (click stream etc.)
Drive product strategy by defining hypothesis, designing experiments and perform A/B testing to continuously optimize product features/consumer behavior and metrics.
Collaborate with the BI team to build standardized business insights such as cost / revenue reports, sustainability metrics etc.
Required Profile
Have managed end-to-end product / data analytics for digital products (mobile apps, websites) covering from data acquisition to reporting and marketing analytics
Handled at least three detailed business analysis/intelligence domain projects such as product performance analytics, user analytics, marketing analytics, sales / transaction analytics & reporting etc.
Preferably, have experience in setting up and managing a team of analyst with common best practices for product analytics
Experience in Python for data analytics and hands on experience in BI tools (we use PowerBI) is highly preferred.
Have worked with product analytics tool sets (GA, MixPanel etc.) and have in-depth knowledge on their integration in digital products (mobile apps)
Knowledgeable in applied statistical methods, visualization, database queries and leveraging Excel / PowerPoint / dashboards for communication to stakeholder.