Description

About the role

We're looking for a hands-on Senior Business Data Analyst to lead data-driven projects from idea to delivery, starting in January 2026. You'll work closely with customers to turn complex questions into smart, actionable solutions-whether through dashboards, prototypes, or full-scale products. This role is perfect for someone who enjoys connecting business and tech, spotting opportunities in data, and driving real impact.

In this role you will

• Lead the design, development, maintenance, and timelines of ongoing metrics, reports, dashboards, and deliverables to support and drive key business decisions.
• Collaborate with various teams to collect analytical,technicaland business requirements.Identifyand mitigate risks and issues,tap into connections, andtransformvague business ideas or requirements into tangible data solutions with a high attention to detail.
• Deep dive into large data sets to answer key business questions using a wide range of data analytics tools (e.g., SQL, Python), web analytics (e.g., Google Analytics, Webtrends ), cloud services (e.g., Azure, GCP, AWS), and BI solutions (e.g., Tableau, PowerBI , Looker).
• Identifybusiness opportunities or areas for improvement andleveragenew and existing technologies to support critical business processes and drive data-driven decision-making.
• Take leadership of projects byprioritizingdeliverables,craftingproject roadmaps, aligning architecture, ensuring data quality and integrity, delegating tasks, supporting full implementation, andpresentingresults tocustomers.
• Experience in implementing PoC/ PoV /prototypes and scaling them into working product solutions in the areas of advanced analytics and machine learning/ GenAI solutions.
• Conceptualize and implement data pipelines, advanced analytics, and machine learning/ GenAI solutions in collaboration with Data Engineers and Data Scientists.
• Align deliverables with business goals andanticipatecustomer needs.
• Continuouslyevaluatenew technologiesand toolsregardingtheir use and benefits. Develop business models and manage projects.
• Mentor junior colleagues, helping them learn new technologies and skills while guiding them in their career development.

What skills should you have?

• A minimum of 5 years of meaningful work experience and a master's or bachelor's degree in a related field.
• Extensive knowledge and experience with big data or cloud technologies such as Hadoop Stack, Azure, GCP, etc.
• Strong technical experience in advanced analytics (e.g., data preparation, applied statistics, and data analysis) as well as a solid understanding of data engineering, machine learning, andGenAIsolutions.
• Strong businessinsightandexperiencein business case development, understanding business and user needs toidentifyshortcomings and potential new products.
• Excellentcommunication and leadership skills; comfortable delivering results tocustomersandcolleagues, anddiscussing technical concepts with a range of audiences.
• Ability to manage project partners through effective expectation management, acting as a point of escalation, and positively influencing team dynamics.
• Ability to define and coordinate work for a team and lead development and implementation end-to-end.

The following skills and experience would also be an asset:

• Strong understanding of agile software development methodologies (e.g., Scrum) and experience in building and maintaining a product backlog.
• Familiarity with planning and project management tools (e.g., Jira, Trello, Confluence).