Infratab - Data Analyst

Summary :

As a data analyst, your role is central to our engineering team. You will work closely with senior management to prioritise information and analytic requirements of the organisation. You will collaborate with product and project managers to understand their analytics needs and deliver actionable, high-impact KPIs and insights across product lines and functions.

Your contributions will include the design and development of state-of-the-art data-driven analysis using statistical & advanced analytics methodologies to deliver IOT-driven analytical data products to our customers across the global food supply chains.

You will also champion the identification and adoption of external data sources to enhance analytics offerings by working with appropriate partners to absorb the data into existing data infrastructure.

Responsibilities :

- Work with raw data to help analyse and structure it

- Develop models & recommend insights

- Manage initiatives for data integrity, validation and normalisation

- Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analysed to extract insights and improve product offerings

- Provide technical expertise on improving data storage structures and developing protocols for handling, processing, and cleaning data while evaluating internal systems for efficiency, problems, and inaccuracies

- Develop and implement databases, data collection systems, data validations and build scripts that will make our data evaluation process more flexible or scalable across data sets

- Generate reports from multiple internal and external data sources by integrating various reporting components

- Support the data warehouse in identifying and revising reporting requirements.

- Design and manage the reporting environment, including data sources, security, and metadata

Job Requirements :

- Bachelors or Masters in a quantitative field such as Engineering, Statistics, Mathematics, Economics, or Computer Science with a prior background in Data modeling and analysis

- 2+ years experience mining data as a Data analyst

- Strong SQL and Excel skills with the ability to learn other analytic tools

- Prior experience with database and model design and segmentation techniques

- Must have the ability to write complex SQL, doing cohort analysis, comparative analysis etc

- Strong programming experience in data and statistical analysis using Python/R and libraries like pandas, NumPy and SciPy.

- Proficient in designing efficient and robust ETL workflows

- Understanding of metadata standards and data versioning best practices

- Familiarity with data warehousing, transformation, and processing

- Experience with data visualisation and with Business Intelligence tools like Tableau, SAS, Qlik is an added bonus

- The ability to work with minimal supervision and take complete ownership of the work

- Prior experience working in a product development startup is a bonus

- Ability to prioritise projects, communicate progress, keep feedback loops short, and deliver on time

Job Perks :

- Flexible working hours

- Unlimited coffee and cookies!

- Health Insurance

- Weekly Team Lunches

- Monthly Karaoke nights

- Regular Friday evening events

- Games aplenty - Foosball/Snooker

- Regular team outings and trips to places far far away