Bachelor's degree in Business Administration, Engineering, Economics, Finance, Mathematics, Statistics, or a related quantitative field, 1.5 - 2.5 years of experience in analytics/data science or related field, Hands-on experience with data manipulation tools such as SQL, R, Python, Excel, and exposure to BI platforms like Power BI, Tableau, Basic knowledge of statistical frameworks and machine learning techniques.
Key responsabilities:
Work with large datasets, solve business problems using advanced analytical methods
Monitor and forecast key business metrics regularly, conduct planning and performance metric reviews
Identify and track progress metrics against business goals, run experiments to test hypotheses
Develop insightful stories around business goals, collaborate with various teams for data accuracy improvement
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Value1 is India's 1st Tech Company Co-Owned by its consumers and workforce
We are on a mission to empower the common man by enriching their consumer experience and creating wealth via gold assets.
Gold being the best store of value, will do wonders for people's wealth creation.
We believe in people and values. We empower our customers with stock options and onboard them as our shareholders. 50% of our shares are dedicated to the member stock option pool, where any member of the public can own a part of our company!
Our innovative rewards system ensures every transaction is rewarded with 24k 999 gold coins.
Exclusive clubs:
1. The Hiring Club - The Hiring Club's centralised ATS is India's largest shared ATS by employers and recruiters. Employers and recruiters can access the ATS at free of cost.
2. Gold Savings Club - The Community marketplace is mapped with the gold savings club, All the transactional revenues are passed back to members through digital gold. Our club members accumulate gold for their every spend.
3. The Givers Club - Where givers co-own the next Big Tech, all our members contribution to society is measured and incentivized through value coins & stock options.
Bachelor's degree in Business Administration, Engineering, Economics, Finance, Mathematics, Statistics, or a related quantitative field
1.5 - 2.5 years of experience in analytics/data science or related field
Hands-on experience on data manipulation tools like SQL, R, Python, Excel etc.
Exposure to BI Platforms like Power BI, Tableau etc.
Knowledge of basic statistical measurement frameworks (measures of central tendency, dispersion, distribution, significance testing etc.)
Basic knowledge of machine learning techniques like Regression, Classification etc.
What do we expect from you?
Creative and structured thinking to solve real-world problems
Fail fast, learn faster approach
Comfortable in a high-energy, fast-paced environment
Proficient verbal and written communication skills
Detail-oriented with the ability to self-direct work in an unstructured environment
Excellent partnership and collaboration skills with the ability to work cross-functionally
Good organizational skills including prioritizing, scheduling, time management, and meeting deadlines
What will you work on?
Work with large, complex data sets to solve business problems, applying advanced analytical methods as needed
Monitor and forecast key business metrics regularly
Conduct regular planning and reviews key performance metrics and aid in benefitting from change
Identify the right metrics to track progress against a given business goal
Design, run and measure experiments to test business hypotheses
Expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms
Develop compelling stories with business insights, focusing on the strategic goals of the organisation
Work with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness
Required profile
Experience
Level of experience:Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.