Company Overview :

Karrier E Nest Solutions is a dynamic and innovative company specializing in providing data-driven solutions to businesses across various sectors. We empower organizations to make informed decisions by leveraging the power of data analytics, machine learning, and artificial intelligence.

Our expertise spans industries such as e-commerce, finance, and healthcare, helping clients optimize their operations, enhance customer experiences, and drive revenue growth.

Role Overview :

We are seeking a highly motivated and experienced Data Analyst/Data Scientist to join our growing team. In this role, you will be responsible for collecting, analyzing, and interpreting large datasets to identify trends, patterns, and insights that can be used to improve business outcomes.

You will work closely with cross-functional teams, including product managers, engineers, and marketing professionals, to understand their data needs and provide actionable recommendations. Your work will directly impact our clients' success by enabling them to make data-driven decisions and achieve their strategic goals.

Key Responsibilities :

- Develop and implement data collection strategies to gather relevant information from various sources for analysis purposes.

- Perform exploratory data analysis to identify trends, patterns, and anomalies that can inform business decisions for stakeholders.

- Build and maintain data models, dashboards, and reports to visualize key performance indicators (KPIs) and provide insights to clients.

- Apply statistical techniques and machine learning algorithms to develop predictive models and improve business outcomes for various projects.

- Communicate findings and recommendations to stakeholders through clear and concise presentations and reports, ensuring actionable insights are delivered.

- Collaborate with cross-functional teams to understand their data needs and provide data-driven solutions that align with business objectives for clients.

Required Skillset :

- Demonstrated ability to extract, transform, and load (ETL) data from various sources, including databases, APIs, and flat files.

- Proven expertise in writing complex SQL queries to retrieve and manipulate data from relational databases.

- Strong analytical and problem-solving skills, with the ability to interpret data and identify meaningful insights.

- Proficiency in using data visualization tools such as Tableau or Power BI to create compelling dashboards and reports.

- Experience in applying statistical techniques and machine learning algorithms to solve business problems.

- Excellent communication and presentation skills, with the ability to effectively communicate technical concepts to non-technical audiences.

- Bachelor's or Master's degree in a quantitative field such as statistics, mathematics, computer science, or a related discipline.

- Ability to work independently and collaboratively in a remote environment, managing time effectively and meeting deadlines.