Business Intelligence Supervisor

Role Profile

We are seeking a skilled Business Intelligence Supervisor who can continue building Kyosk’s Business Intelligence unit, use various statistical and advanced analytics methods to define BI solutions and can critically think about data and identify process improvement points from the data and dashboard on an ongoing basis to support business. You will be the driver of business improvement, unearthing challenges from the data and using smart analytics to predict market and customer movements. 

Key Responsibilities:

• Liaising and advising on data infrastructure: Working together with the Technology (data infrastructure) and Product team (data analysts) to support them on the BI needs and the corresponding data infrastructure requirements. In conjunction with the Head of Strategy and Data to oversee the development of business dashboards across the business. Identifying new metrics and data to measure to provide the business with a comprehensive view of the markets we operate in. Drive the Business Intelligence roadmap; prioritize organization insight requests to balance the tactical and strategic information needs of the organization
• Data strategy implementation: Determining the strategic data points and stories to be showcased across the organization. Drive quality data collection and ensure that data is available for further processing as needed by the business. Champion the recognition and adoption of best practices; new tools and methodologies in data integrity, design, analysis, validation, and documentation. Apply industry knowledge to interpret data and improve performance
• Solution implementation: Interpret; evaluate and report on data to develop integrated business analyses and projections for strategic decision-making. Develop and automate reports, build and prototype dashboards to provide insights at scale, solving for analytical business needs.
• Business advisory and reporting: Gathering and analyzing data and delivering dashboards and reports to upper management continuously. Establish intuitive reporting methodologies, perform ad-hoc market analysis as required to support strategy development; analyze performance and prepare the necessary reports to allow management to drive sales force activities as well as maximize revenue opportunities via detailed customer knowledge
• Project management: Drive the execution of BI projects such as launching new tools, dashboards and specific data analytics projects. Monitor the quality and completeness of data to document project performance, ensure data within the project for evidence-based decision making, and solve data problems when they arise 
• Continuous improvement and growth: Continuously looking for BI opportunities regarding the introduction of advanced analytics and machine learning algorithms. Develop and maintain the management Dashboards and Scorecards to guide performance improvement
• Stakeholder Management: Collaborate with cross-functional stakeholders to understand their business needs, and formulate & complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables, and presentations. 
• Business unit building: Recruiting and training necessary personnel for the BI unit; Lead, inspire and manage a talented Business Intelligence team to achieve the department's goals and development potential. Hold frequent one-on-one sessions with the team and conduct monthly performance appraisals to guarantee an engaged, motivated and delivering team.

Minimum Requirements & Key Skills:

• Master's degree in business administration, computer sciences, mathematics, data analytics or another closely related field OR a bachelor's degree in the above fields with additional certifications in data sciences
• A minimum of 3 years of previous related experience with significant exposure to business intelligence and project management with at least 1 year of senior management experience in business intelligence, data analytics, strategic planning or management consulting (e.g. MBB, Big4 or similar);
• Advanced user of Google BigQuery and Looker Studio
• In-depth demonstrable understanding of a business across the different functions (prior cross-functional exposure);
• Proven ability to develop and maintain effective relationships with internal and external stakeholders;
• Demonstrated ability to influence others, create alignment, generate a commitment to goals and inspire others to action;
• Experience leading complex and multi-stakeholder business projects;
• Deep understanding of consumer analytics
• Strong analytical skills with a demonstrable ability to capture and communicate projections as well as to model out various scenarios using Excel and/or other business analytics tools, big data analytics and build insights from data;
• Demonstrable experience in business contractual negotiations (with third parties) and a general understanding of business contracts;
• Ability to work independently with a high degree of initiative, discretion, and tact; ability to work under pressure;
• Proficiency with databases such as MongoDB and PostgreSQL is preferred, along with familiarity with opportunities in Machine Learning and coding skills in Java and/or Python. These are considered valuable but not mandatory.
• Familiarity with project management tools such as Jira and Confluence is desirable but not a strict requirement.

Competencies & Skills

• Data analytics;
• Drive for Execution;
• Project management;
• Problem-solving;
• Critical thinking;
• Communication with various skills to translate the story the data is telling;
• Team management;
• Tech-savvy.