About the Role:

The role holder should have expertise in strategic evaluation, business storytelling, and advanced analytics to play a pivotal role in transforming data into actionable business insights. The successful candidate will deeply understand business bottlenecks, leverage data evaluation techniques, and effectively communicate complex evaluation to both technical and non-technical stakeholders. This role requires a strong ability to bridge the gap between business strategy, and technology.

What you will be expected to do:

• Develop and execute advanced analytics solutions and statistical evaluation, to solve complex business problems
• Apply A/B testing, regression evaluation, hypothesis testing, and other statistical methodologies to validate business strategies and enhance strategic choice.
• Work with senior managers to identify strategic opportunities and guide data-guided choices.
• Design and develop impactful dashboards and reports using tools like Tableau, Looker, or Power BI, enabling stakeholders to make informed choices.
• Serve as a trusted advisor by applying a deep comprehension of business operations to recommend strategies that drive growth, operational improvements, and team work.
• Drive the development and monitoring of key performance indicators (KPIs) and dashboards, ensuring alignment with business goals.
• Leverage a strong comprehension of business processes to provide recommendations on optimizing operations and improving outcomes.
• Partner with engineering teams to design and optimize data pipelines and workflows.

You might be a strong candidate if you have:

• A bachelor’s or master’s degree in data science, business evaluation, computer science, or a related quantitative field.
• 4+ years of experience in business intelligence, strategic evaluation, or a similar role, with a proven track record of driving business outcomes through data insights.
• Proficiency in SQL and Python for data evaluation and modelling.
• Solid comprehension of machine learning techniques and their application in solving business bottlenecks.
• Expertise in data visualization tools like Tableau, Looker, or Power BI to create compelling, actionable insights.
• A strong business mindset with the ability to comprehend and address cross-functional business bottlenecks and strategic opportunities.
• Strong statistical comprehension and the ability to apply statistical methods to solve business problems and inform strategic direction.
• Exceptional storytelling and communication skills, with a demonstrated ability to convey insights to both technical and non-technical audiences.

• Develop and execute advanced analytics solutions and statistical evaluation, to solve complex business problems
• Apply A/B testing, regression evaluation, hypothesis testing, and other statistical methodologies to validate business strategies and enhance strategic choice.
• Work with senior managers to identify strategic opportunities and guide data-guided choices.
• Design and develop impactful dashboards and reports using tools like Tableau, Looker, or Power BI, enabling stakeholders to make informed choices.
• Serve as a trusted advisor by applying a deep comprehension of business operations to recommend strategies that drive growth, operational improvements, and team work.
• Drive the development and monitoring of key performance indicators (KPIs) and dashboards, ensuring alignment with business goals.
• Leverage a strong comprehension of business processes to provide recommendations on optimizing operations and improving outcomes.
• Partner with engineering teams to design and optimize data pipelines and workflows.

• SQL
• Python
• Machine learning techniques
• Data visualization tools (Tableau, Looker, Power BI)
• Statistical comprehension
• Storytelling and communication skills

• A bachelor’s or master’s degree in data science, business evaluation, computer science, or a related quantitative field.
• 4+ years of experience in business intelligence, strategic evaluation, or a similar role, with a proven track record of driving business outcomes through data insights.
• Proficiency in SQL and Python for data evaluation and modelling.
• Solid comprehension of machine learning techniques and their application in solving business bottlenecks.
• Expertise in data visualization tools like Tableau, Looker, or Power BI to create compelling, actionable insights.
• A strong business mindset with the ability to comprehend and address cross-functional business bottlenecks and strategic opportunities.
• Strong statistical comprehension and the ability to apply statistical methods to solve business problems and inform strategic direction.
• Exceptional storytelling and communication skills, with a demonstrated ability to convey insights to both technical and non-technical audiences.