Full-Time Data and Business Intelligence Manager

Data and Business Intelligence manager is an analytics team leader with strong business acumen and understanding, serving as a liaison amongst business priorities, technical resources and internal project stakeholders.

The person in this role oversees leading the practice and introducing the overall analytics and BI vision for a solution of optimal process and data flow integration and utilization.

The person will support dedicated analytics team within their perimeter and business stakeholders by mapping out solutions to some of their complex technical challenges and providing direction, mitigating risk and offering data product tailored for business division needs.

The person in this role will have strong business and process understanding for specific business domain and will translate analytics needs into outcome-oriented data products.

Responsibilities

1. Lead, manage and grow end-to-end delivery team structured of data engineers, analytics and BI developers to deliver fit for purpose data products for internal stakeholders and external sponsors/customers.
2. Analyze internal stakeholder requirements for data driven decision making pain points and areas of improvement.
3. Understand and has overview of whole Ergomed data flow mapping, creating improvements design, evaluating methodologies and best practices in daily work.
4. Assuring seamless process integration within data analytics tools stack to improve data driven decision making.
5. Prepare end-to-end process and data flow specifications for team members and ensure optimal integration with current systems and applications.
6. Testing and evaluating developed solutions.
7. Act as a customer/stakeholder facing expert, owning overall relationship between cross-functional departments.
8. Facilitate strategic business KPIs, capability and process architecture improvements with stakeholders at all levels of the organization and providing suggestions and best practices.
9. Define data governance needs and elements to assure quality of data driven decision making process.
10. Design, specify, build, and test references architectures, how-to and demo scenarios for automated solutions.
11. Assure balance of technical depth and interpersonal skills to drive collaboration and coordinate with stakeholders throughout the organization.
12. Work closely with IT, infrastructure, and business-oriented teams to align architecture and operations with business strategic goals.
13. Provides data architecture support and expertise to all major enterprise projects and ensures enterprise data is structured for ease of use.
14. Provides leadership to teams of data/business analysts, helping them enhance their skills and improve Ergomed analytics maturity through BI-as-a-self-service delivery model.
15. Conducts surveys and focus groups to gather information about internal stakeholders and key principals’ preferences and needs regarding analytics.
16. Develops training programs to help employees use data analytics effectively and efficiently.
17. Applies knowledge of systems, processes, data and customer requirements to uncover problems and recommends data product or solutions.
18. Intermediate experience of data integration tools usage and its best practices.
19. Intermediate experience and understanding of mapping technology (data, analytics, BI) to solve business needs.
20. Ability to lead and facilitate problem framing with business stakeholders (managers, analysts and analytics consumers)
21. Strong knowledge about design and implementation of modern data architectures and concepts such as cloud services (i.e. AWS, OCI, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks…)
22. Intermediate experience working with popular data discovery, analytics, and BI software tools like PowerBI, Tableau, Qlik Sense, Looker, ThoughtSpot and others for semantic-layer-based data discovery.
23. Expert problem-solving skills, including debugging skills, allowing the determination of sources of issues in unfamiliar code or systems, and the ability to recognize and solve repetitive problems.
24. Very good business acumen and interpersonal skills; able to work across business division at a senior level to influence and effect change to achieve common goals.
25. Ability to describe business use cases/outcomes, data sources and management concepts, and analytical approaches/options.
26. Analytic Ability - can work with data to identify patterns, uses judgment to form conclusions that may challenge conventional wisdom, and focuses on the crux of issues to identify high leverage intervention points and strategies.
27. Intermediate knowledge about Data Governance processes and benefits of MDM.
28. Establishes and enforces data standards, naming conventions, and data classification frameworks
29. Conducts data profiling and analysis to assess the quality, completeness, and accuracy of data assets
30. Implements and monitors data governance processes, including data access controls, data retention policies, and data life cycle management
31. Collaborates with IT teams to ensure proper data synchronization across systems
32. Develops data governance training programs to increase data literacy and educate stakeholders on data management practices
33. Fluent in English with strong written and verbal communication skills. The ability to write compelling documentation and functional business cases is essential.
34. Knowledge of other languages is an advantage.

Experience:

• At least five years of work experience in data management disciplines, including data integration, modeling, optimization and data quality, or other areas directly relevant to business intelligence, analytics, business analysis, financial planning or forecasting responsibilities and tasks.
• Project experience developing and maintaining analytical platforms with concrete business value impact.
• At least seven years of experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental and/or multi-departmental data management and analytics initiative.

Education:

• A bachelor’s degree in computer science, data science, software engineering, information systems, business economics or related quantitative field; master’s degree preferred (or equivalent work experience)

What is the last date for applying to the job?

Which countries are accepted for this remote job?