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Wesco is hiring for a fresher entry level Data Scientist (Analytics) role in India



Position:

  • Data Scientist (this is an Analytics role, but designation is DS)

  • Full-time position focused on data-driven business problem solving

  • Requires both analytical and technical expertise

Company:

  • Wesco International, Inc.

  • Global leader in business-to-business distribution and supply chain solutions

  • Publicly traded (NYSE: WCC) and a Fortune 500 company

  • Headquartered in Pittsburgh with global presence

Location:

  • No.133/1, Residency Road, Vaishnavi The Residency, 5th Floor, Bangalore, Karnataka, India

  • On-site work arrangement

Job type:

  • Full-time position

  • Permanent employment opportunity

Job mode:

  • On-site role

  • Requires presence at the Bangalore office

Job requisition id:

  • 24085

Years of experience:

  • Not explicitly mentioned in the job description; looks like a fresher entry level role as per JD; 0-3 years


Company Description

  • Wesco is a well-established name in the global supply chain and logistics industry.

  • Founded in 1922, it has built a solid reputation over the decades.

  • The company provides critical distribution and value-added services for a wide variety of sectors.

  • Wesco is driven by a mission to build, power, connect, and protect the world.

  • With over 20,000 employees globally, Wesco operates with a strong culture of teamwork and inclusivity.

  • Headquartered in Pittsburgh, Wesco has expanded its operations to multiple locations around the world.

  • The organization is committed to respecting diversity and fostering equal opportunities for all.

  • As a Fortune 500 company, it prides itself on financial stability and continuous growth.

  • Wesco ensures all employees are empowered to perform and thrive in their roles.

  • The company also actively participates in community engagement, offering comprehensive benefits to its workforce.


Profile Overview

  • The Data Scientist role at Wesco focuses on transforming large-scale data into actionable business insights.

  • This position is designed for someone with a strong understanding of data science methodologies and a passion for solving complex business problems.

  • The core responsibility includes collecting, cleaning, analyzing, and interpreting big data to extract meaningful patterns.

  • The candidate will work closely with teams across departments to support strategic decision-making.

  • This role includes hands-on technical tasks like writing SQL queries and managing databases.

  • Reporting and visualization are also crucial components, using tools such as Tableau and Power BI.

  • The individual must be detail-oriented and capable of working independently.

  • This is a high-impact role meant to influence business direction through data-backed suggestions.

  • It demands collaboration with stakeholders to tailor data solutions that align with business goals.

  • Overall, the role combines technical expertise with business acumen to deliver impactful solutions.


Qualifications

  • A bachelor’s degree in fields like Computer Science, Mathematics, Statistics, Economics, or other quantitative disciplines is required.

  • Strong foundation in SQL is essential, including understanding of joins, subqueries, CTEs, aggregations, and indexing.

  • The role requires someone with solid analytical thinking and structured problem-solving skills.

  • Candidates must be comfortable working with spreadsheets (Excel, Google Sheets) for preliminary data handling.

  • Familiarity with data storytelling techniques and visual representation of insights is expected.

  • Experience with data visualization platforms like Tableau, Google Data Studio, or Power BI is valuable.

  • The candidate should be comfortable working in dynamic environments with changing data needs.

  • Ability to document processes, methods, and standards to maintain consistency across analysis.

  • Self-motivation and the ability to independently manage tasks are critical for success in this role.

  • While not explicitly stated, prior experience with scripting (like Python) would be advantageous.


Additional Info

  • Wesco promotes a respectful and inclusive work environment where everyone is empowered to thrive.

  • The company adheres to equal opportunity employment laws, and decisions are made without bias or discrimination.

  • The culture at Wesco emphasizes teamwork, collaboration, and mutual respect across departments.

  • Employees are encouraged to contribute their ideas and participate in strategic initiatives.

  • The company offers attractive compensation packages and various employee benefits.

  • Wesco has a strong focus on employee development and encourages learning through projects and cross-functional exposure.

  • The on-site role ensures collaborative teamwork and faster feedback loops for impactful execution.

  • Wesco also supports ethical hiring practices and aligns with legal regulations across geographies.

  • The role will report into the Information Technology department, working on strategic data initiatives.

  • Wesco is looking for individuals who are passionate about using data to drive innovation and transformation.


Key Responsibilities

  • Write well-structured SQL queries to extract and manipulate data from databases like MySQL and SQL Server

  • Perform data cleaning and validation tasks to ensure accuracy of data sets

  • Use tools like Python, Excel, or Google Sheets for preprocessing and data preparation

  • Analyze data to discover patterns, trends, and anomalies that can help inform business decisions

  • Build and maintain insightful dashboards and business reports using tools such as Power BI, Tableau, or Google Data Studio

  • Work closely with business teams to understand data requirements and create relevant models or metrics

  • Address ad hoc data requests from stakeholders with timely and accurate reporting

  • Contribute to data quality management by maintaining consistent standards and documentation

  • Create and manage data dictionaries and analysis guides to ensure transparency in methodologies

  • Support automation efforts for data collection, transformation, and visualization processes

  • Provide recommendations for data governance best practices and scalable analytics processes

  • Use statistical or data mining techniques where necessary to deepen understanding of complex problems

  • Regularly update business stakeholders on progress, findings, and implementation status of data projects

  • Collaborate with engineers and IT support teams to improve data infrastructure and pipelines

  • Ensure all data handling aligns with internal security and privacy standards


Please click here to apply.


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