Lead Business Intelligence Analyst
Lead Business Intelligence Analyst
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Job Description
Were searching for a Manager Data Science & Business Intelligence to lead our data-driven initiatives. This hybrid role combines strategic oversight of business intelligence operations with hands-on expertise in advanced data science. Youll be instrumental in translating complex business problems into actionable data science solutions while also guiding a team to deliver high-quality scalable BI reporting.
You will:
- Lead and mentor a team of data professionals including BI Engineers Data Engineers Solution Strategists and Data Analysts ensuring high-quality work and professional development.
- Translate business problems into workable data science solutions proposing different approaches and developing comprehensive project plans including milestones risks and contingency plans.
- Design develop and enhance BI reporting and data analytics solutions creating intuitive dashboards and reports using tools like Tableau PowerBI Looker or ThoughtSpot.
- Assemble and integrate large complex datasets from diverse client and external sources performing data cleaning hygiene and quality control to ensure data integrity.
- Conduct in-depth statistical data analysis including exploratory data analysis and data mining to extract key insights and inform decision-making.
- Develop train validate and cross-validate predictive models and machine learning algorithms using state-of-the-art data science techniques and tools (R Python or Scala).
- Build analytics tools that provide actionable insights into key business performance metrics such as customer acquisition and operational efficiency.
- Document data flows technical designs and model results for client deliverables and internal best practices.
- Collaborate with Product Owners and cross-functional teams in an agile environment to define KPIs and understand data visualization and analytical requirements.
Qualifications :
Masters degree in Data Analytics Data Science Computer Science Statistics Mathematics Business Analytics Quantitative Methods Operations Research or a closely related quantitative field plus 3 years of relevant professional experience OR Bachelors degree in Data Analytics Data Science Computer Science or a closely related quantitative field plus 5 years of relevant professional experience.
5 years of experience working with one of the following BI platforms: Tableau Desktop Tableau Server Tableau Data Prep Tableau CRM (Einstein Analytics) Power BI Looker ThoughtSpot or Qlik.
3 years of experience designing developing and enhancing BI reporting and data analytics solutions.
3 years of experience in BI project management including project planning and scoping.
2 years of experience with predictive modeling and statistical analysis.
2 years of experience with one of the following advanced data science software languages: R Python or Scala.
2 years of experience with SQL and relational databases including query authoring and tuning.
2 years of experience with one of the following cloud-based platforms: AWS Azure or Google.
Additional Information :
Our Perks and Benefits:
Learning Opportunities:
Certifications in AWS (we are AWS Partners) Databricks and Snowflake.
Access to AI learning paths to stay up to date with the latest technologies.
Study plans courses and additional certifications tailored to your role.
Access to Udemy Business offering thousands of courses to boost your technical and soft skills.
English lessons to support your professional communication.
Mentoring and Development:
Career development plans and mentorship programs to help shape your path.
Celebrations & Support:
Special day rewards to celebrate birthdays work anniversaries and other personal milestones.
Company-provided equipment.
Flexible working options to help you strike the right balance hybrid role (2 times a week in the office) in Bogot
Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location please consult with one of our recruiters.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
