Data Analyst - Python/Business Intelligence (2-4 yrs)

About the Role :

We are seeking a highly motivated and data-driven Data Analyst to join our growing team.

In this role, you will play a crucial part in turning data into actionable insights that drive business decisions.

You will work closely with various teams to analyze operational data, identify trends, and develop data-driven solutions to improve efficiency and performance.

Responsibilities :

- Collect, clean, and transform data from various sources (databases, APIs, spreadsheets).

- Perform in-depth analysis of operational data to identify trends, patterns, and anomalies.

- Conduct statistical analysis, including hypothesis testing, regression analysis, and time series analysis.

- Utilize data mining techniques to discover hidden insights and relationships within data.

- Develop and maintain interactive dashboards and reports using data visualization tools (e.g, Tableau, Power BI, Looker).

- Create clear and concise presentations to communicate data findings to stakeholders.

- Develop and maintain data dictionaries and documentation.

- Translate business requirements into data analysis tasks.

- Assist in defining and tracking key performance indicators (KPIs) and other relevant metrics.

- Provide data-driven recommendations to improve business processes, optimize operations, and increase efficiency.

- Support decision-making across various departments (e.g, marketing, sales, operations).

- Leverage IoT and geospatial data to optimize operational performance and improve decision-making.

- Explore and implement new data analysis techniques and technologies (e.g machine learning, AI).

- Stay abreast of the latest trends and developments in the field of data analytics.

- Bachelor's degree in Business Administration, Statistics, Mathematics, Computer Science, Economics, or a related field.

- 2-4 years of experience in data analysis or a related field (e.g, business intelligence, data science).

- Proficiency in SQL, Excel, and Python.

- Strong experience with data visualization tools (e.g, Tableau, Power BI, Looker).

- Excellent analytical and problem-solving skills.

- Strong communication and presentation skills with the ability to effectively convey complex data insights to both technical and non-technical audiences.

- Ability to work independently and as part of a team.

- Strong attention to detail and accuracy.

- Experience with data mining techniques and statistical analysis is a plus.

- Experience with IoT and geospatial data analysis is a plus.

- Experience with cloud-based data platforms (e.g, AWS, Azure, GCP) is a plus