We are looking for a Data Strategy Manager.
As our Data Strategy Manager, youre not just crunching numbers, youre
crafting the bridge between what data can do and our business needs. Think of it as using BI/Analytics to crack the code on complex puzzles and clocking the wins in real, measurable ways.
You'll take charge of steering projects, tracking their progress, and quantifying their success, all while pushing the envelope on what data can achieve. Ready to blend your technical background with a keen business sense to drive excellence?
Join us on this journey to elevate our game through strategic data innovation.
In this role, you will be responsible for:
Leverage your extensive data domain expertise to generate strategic insights, and play a crucial role in developing and managing the semantic layer, ensuring data integrity, accessibility for analytics, and BI and company alignment around metrics.
Develop metrics and frameworks to assess the impact of data-driven initiatives on business performance, aligning with key goals.
Engage with stakeholders to collect requirements, map the company data sources, and deliver insights that inform strategic decisions and optimize data organization processes.
Champion the adoption of data-driven decision-making throughout the company, fostering innovation and continuous improvement.
As our Data Strategy Manager, youre not just crunching numbers, youre
crafting the bridge between what data can do and our business needs. Think of it as using BI/Analytics to crack the code on complex puzzles and clocking the wins in real, measurable ways.
You'll take charge of steering projects, tracking their progress, and quantifying their success, all while pushing the envelope on what data can achieve. Ready to blend your technical background with a keen business sense to drive excellence?
Join us on this journey to elevate our game through strategic data innovation.
In this role, you will be responsible for:
Leverage your extensive data domain expertise to generate strategic insights, and play a crucial role in developing and managing the semantic layer, ensuring data integrity, accessibility for analytics, and BI and company alignment around metrics.
Develop metrics and frameworks to assess the impact of data-driven initiatives on business performance, aligning with key goals.
Engage with stakeholders to collect requirements, map the company data sources, and deliver insights that inform strategic decisions and optimize data organization processes.
Champion the adoption of data-driven decision-making throughout the company, fostering innovation and continuous improvement.
Requirements:
A minimum of 4 years of experience as a BI system analyst / BI Developer / Analytics engineer, demonstrating a deep understanding of data platform design, and how business definitions turn to metrics, AI, and semantic layer concepts.
Proven experience in applying data solutions to solve business problems and drive business improvement.
Advanced proficiency in analytical tools and programming languages (e.g., SQL-Critical, Python – nice to have) and familiarity with data visualization tools (e.g., Tableau, Power BI).
Expertise in embedding a data-centric culture, enhancing data literacy and decision-making across the organization
Effective collaboration and project management capabilities, with experience leading cross-functional projects
Advantages:
Candidates with experience in data architecture, business analysis, or both will have a distinct advantage. This background equips you with a unique perspective on structuring data solutions that align with business needs, enhancing our ability to innovate and drive meaningful change.
A minimum of 4 years of experience as a BI system analyst / BI Developer / Analytics engineer, demonstrating a deep understanding of data platform design, and how business definitions turn to metrics, AI, and semantic layer concepts.
Proven experience in applying data solutions to solve business problems and drive business improvement.
Advanced proficiency in analytical tools and programming languages (e.g., SQL-Critical, Python – nice to have) and familiarity with data visualization tools (e.g., Tableau, Power BI).
Expertise in embedding a data-centric culture, enhancing data literacy and decision-making across the organization
Effective collaboration and project management capabilities, with experience leading cross-functional projects
Advantages:
Candidates with experience in data architecture, business analysis, or both will have a distinct advantage. This background equips you with a unique perspective on structuring data solutions that align with business needs, enhancing our ability to innovate and drive meaningful change.
This position is open to all candidates.
