Business Intelligence Analyst OKR Examples

Translate requirements of tech and business teams into efficient data solutions

The goal of this objective is to develop a process of requirement analysis

• Run 2 design thinking workshops with business and tech
• Develop 10 new requirements for tech and business teams
• Launch 1 POC that covers at least 5 new requirements

Create new revenue dashboards using Looker and SQL

The goal of this objective is to setup Looker and create simple dashboards

• Sign up for a 3 year plan for Looker
• Setup 1 basic revenue dashboard for business
• Setup 1 basic revenue dashboard for tech

Promote data-driven culture on a broad range of topics

The goal of this objective is to become a truly data-driven company

• Create and launch 1 deck on data-driven culture similar to Netflix
• Run 3 data workshops across marketing, sales and product
• Launch a game with incentives to promote data-driven culture within the organization

Increase user engagement

Create dashboards for CEO, marketing and sales

• Increase user engagement by 10% within 3 months
• Create at least 2 new dashboards for CEO and marketing within 6 months
• Implement data visualization best practices in all dashboards within 1 month

Increase revenue

Create dashboards for CEO, marketing and sales

• Increase revenue by 15% within 6 months
• Create at least 3 new dashboards for CEO and sales within 6 months
• Implement A/B testing on dashboards to improve effectiveness within 3 months

Improve data accuracy

Create dashboards for CEO, marketing and sales

• Improve data accuracy by 95% within 6 months
• Conduct regular data audits to identify and fix errors within 1 month
• Implement data quality checks on all incoming data within 2 months

Enhance data-driven decision making

Gather business requirements and analyze them using data

• Increase the number of successful data-driven initiatives by 20%
• Reduce ad-hoc KPI request response time by 30%
• Increase the number of stakeholders using self-service reporting by 25%

Improve data accessibility and usability

Perform data source analysis to understand processes and provide curated data

• Increase the number of data sources analyzed by 30%
• Increase the number of stakeholders accessing curated data by 25%
• Increase the overall satisfaction with data accessibility and usability by 20%

Improve reporting capabilities and communication of insights

Create reports in MicroStrategy and provide insights to different audiences

• Increase the number of MicroStrategy reports created by 25%
• Increase the number of stakeholders using insights from reports by 30%
• Increase the overall satisfaction with the clarity and usefulness of insights by 20%

Enhance self-service reporting capabilities

Collaborate with data and reporting engineers to implement self-service reporting initiatives

• Increase the number of self-service reporting initiatives implemented by 30%
• Increase the number of stakeholders using self-service reports by 25%
• Increase the overall satisfaction with self-service reporting capabilities by 20%

Develop and implement a standard reporting landscape for HelloFresh

Champion the development of a common understanding and measuring of performance across HelloFresh business units and geographies through the implementation of a standard reporting landscape

• Increase standardization of reporting across business units and geographies by X%
• Improve understanding and measuring of performance by X%
• Increase efficiency in reporting by X%

Design and implement a metric layer for HelloFresh

Contribute to the design and implementation of HF’s metric layer

• Implement a metric layer that covers X% of business metrics
• Increase accuracy of business metrics by X%
• Increase efficiency in tracking metrics by X%

Develop and implement rules and best practices for data visualization and reporting tools

Collaborate with BI analysts from various business domain teams and markets to define and implement the rules and best practices in our usage of data visualization and reporting tools

• Increase standardization of data visualization and reporting tools by X%
• Improve quality of data visualization and reporting by X%
• Increase efficiency in data visualization and reporting by X%

Address user pain points and challenges with BI tools

Be attentive to users’ pain points and challenges with our BI tools, and proactively suggest solutions to alleviate these pain points

• Reduce user pain points and challenges with BI tools by X%
• Increase user satisfaction with BI tools by X%
• Increase efficiency in addressing user feedback by X%

Develop and maintain a high-quality contact database

Work on data-driven marketing projects with a focus on digital and analytics

• Increase database accuracy by 10%
• Improve database accessibility for internal employees by 15%
• Reduce database duplication by 5%

Develop and deliver effective trainings on the use of the client database

Provide advice and support on marketing campaigns and communication databases

• Increase the number of trainings offered by 50%
• Improve training completion rate by 10%
• Increase the number of trained users by 15%

Improve the effectiveness of marketing campaigns

Analyze and process data, track success, and derive optimization measures for the Marketing department

• Increase campaign success rate by 20%
• Reduce campaign costs by 10%
• Increase campaign reach by 5%

Develop and implement innovative solutions for data-driven projects

Collaborate on data-driven projects with other teams within BCG

• Complete 2 new data-driven projects within 6 months
• Increase project efficiency by 15%
• Improve project impact by 20%