Data Analyst OKR Examples

Develop an accurate and reliable data reporting

The goal of this objective is to develop a new reporting system

• Improve and optimize the most used 10 product dashboards
• Complete an analytics implementation report of Mixpanel
• Resolve 10 most reported issues by the product team

Launch new channel attribution model prototypes

The goal of this objective is to optimize our marketing budget through attribution management

• Find 1 suitable static channel attribution model and run a POC
• Find 1 dynamic channel attribution model and run a POC
• Create a final report and present to the CMO

Implement adjust for our new mobile app

The goal of this objective is to have error-free mobile app tracking and provide ROI report for marketing

• Create a tagging schema for at least 30 events
• Hold 3 workshops with devs to explain and show how the tracking should work
• Lead the product tracking implementation and launch by the end of June

Increase market share for ImmoScout24

Expert in market share, trends and macroeconomic impacts on our business

• Develop a deep understanding of our target market and their needs
• Identify and evaluate potential growth opportunities
• Collaborate with cross-functional teams to implement strategies for capturing new market share

Improve communication of data insights to stakeholders

Able to condense complex data into simple stories

• Develop clear and concise reports and presentations on key metrics and trends
• Work with stakeholders to identify their data needs and tailor reports accordingly
• Train other team members on data analysis best practices and tools

Enhance strategic decision making through improved data insights

Creative in finding proxies for difficult-to-measure metrics

• Explore new data sources and methods for measuring key metrics
• Develop and implement innovative approaches for assessing strategic positioning
• Collaborate with stakeholders to identify and prioritize areas for improving data-driven decision making

Identify and capitalize on business levers to drive growth

Enjoys thinking about the big picture and strategic implications

• Stay up to date on national and international competitive landscape and derive corresponding strategies
• Collaborate with cross-functional teams to identify and evaluate potential growth opportunities
• Develop and implement strategies for capturing new market share and improving strategic positioning

Increase customer satisfaction and loyalty.

Creating insights around all aspects of the customer's purchasing behavior to impact strategic and assortment decisions.

• Develop self-service reporting infrastructure to enable autonomy with data and KPIs.
• Collaborate with Data Science and Data Engineering teams to maintain data pipelines and tap into new data sources.
• Drive data mindset in the team and guide team members in methodology and technology.

Increase efficiency and autonomy for the team and stakeholders.

Developing and automating self-service reporting infrastructure for the Customer Analytics team.

• Enable team and stakeholders to work independently with data and KPIs.
• Collaborate with Data Science and Data Engineering teams to develop and maintain data pipelines.
• Drive data mindset in the team and guide team members in methodology and technology.

Ensure the accuracy and reliability of data for decision-making.

Collaborating with Data Science and Data Engineering teams to develop and maintain data pipelines.

• Develop and maintain data pipelines in collaboration with Data Science and Data Engineering teams.
• Tap into new sources of data and know-how.
• Drive data mindset in the team and guide team members in methodology and technology.

Increase data literacy and competency in the team.

Driving data mindset in the team and guiding team members in methodology and technology.

• Collaborate with other analysts, data scientists, engineers, and commercial colleagues to share knowledge and expertise.
• Guide team members in methodology and technology related to data analysis.
• Drive data-driven decision-making within the team.