About the Role:
BURN is looking for a Business Analyst who will be responsible for gathering business data in different ways, including mining a company's homegrown data, competitor data, and industry trends. With the data collected, the BI analyst will help develop a picture of the company's competitiveness compared to other players in the market. Accordingly, they suggest improvement solutions. The business intelligence analyst role is highly analytical and requires a balance of big data analysis, communication, and problem-solving skills. The Business intelligence (BI) analyst is expected to transform data into insights that drive business value.
Through the use of data analytics, data visualization, and data modeling techniques and technologies, the BI analyst should be able to unearth insights from the data that can help other departments, managers, and executives make business decisions to modernize and improve processes in the organization.
Duties & Responsibilities
Generate BI reports, dashboards, and data models with the help of BI tools and MS-Office products and present consequent reports to management.
Monitor analytics and metrics results and communicate the same effect promptly to user departments and any other external stakeholders.
Build product biz unit budgets (in conjunction w/ relevant managers), setting: revenue and unit volume targets
Create and drive forward product strategy to optimize profitability, including:
Drive the product and business-planning process across cross-functional teams of the company
Analyze consumer needs, current market trends, and potential partnerships from a profitability perspective
Assess current competitor offerings and seek opportunities.
Analyze product requirements and develop appropriate programs to ensure they’re successfully achieved
Analyze market data to develop sales strategies and define product objectives for effective marketing communications plans
Skills & Experience:
Strong background in statistics, applied mathematics, operations research, economics, or a related field.
Wide experience in data analysis especially quantitative and strong computer skills using such tools like Ms. Excel, R, and SPSS and standard business and graphics software on Windows platforms like Power BI, Tableau, etc. and in a big data environment
Aptitude for quantitative problem solving and precision.
Good communication skills.
Ability to work collaboratively in an informal, collegial environment.
Ability to work effectively under deadlines.
Compensation and Benefits:
Competitive compensation competitive with the industry