As a Data Analyst you will analyse, prepare, and process large data sets we receive from our partners and customize them for our carbon credits program. You will also analyse and process them to be consumed for direct market insights, statistical modelling and other analytical exploration for our products portfolio. You will consult on data and modelling impacts, guiding our backend and machine learning engineers through interdependencies and analysis decision impacts as well as transform data as appropriate for specific team functions or processes.
- Develop strategic plans to access fit-for-purpose data sources to support evidence generation, and gain access to data through collaboration or data generation.
- Develop a comprehensive and deep understanding of the data we work with using analytical tools and applications to broaden data accessibility and advance our proficiency/efficiency in understanding and using the data appropriately.
- Communicate findings to internal stakeholders and work with them to generate useful solutions.
- One-on-one discussion with clients and other stakeholders to give the latest update and ability to strategize and communicate data requirements with them.
- Coordinate with MECs carbon team to customize the data for originating carbon credits.
Required Candidate profile
- At least 2 years hands on experience in translating data into useful insights.
- Good understanding of statistical analysis techniques such as correlation analysis, hypothesis testing, multivariate statistical analysis, time series techniques, attribution modelling. Strong experience on providing predictive modelling solutions to clients.
- Demonstrated experience with managing project scope and driving delivery in an evolving environment requiring proactivity and effective problem-solving and prioritization when faced with challenges
- Strong critical thinking, analytical bent of mind and exceptional problem-solving skills.
- Experience with Excel and SQL.
- Excellent written and verbal communication skills
- Familiarity with data privacy laws