Bristlecone is hiring for an fresher entry level Associate Data Analyst role in India

Position:

• Associate Data Analyst

Company:

• Bristlecone

Location:

• Mumbai, Maharashtra, India

Job type:

• Full-time

Job mode:

• Onsite

Job requisition id:

• 16342

Years of experience:

• 0-3 years

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Company Description

• Bristlecone is a global leader in the realm of AI-driven application transformation and digital innovation, focusing extensively on the connected supply chain landscape.

• The company is a trusted strategic partner to Global 2000 companies operating in sectors like retail, life sciences, manufacturing, and consumer goods.

• With its roots embedded deeply in digital logistics, smart procurement, and autonomous planning, Bristlecone offers cutting-edge solutions to modernize supply chains and foster business agility.

• They have a worldwide presence with their headquarters in San Jose, California, and active offices across North America, Europe, and Asia.

• Bristlecone is a subsidiary of the Mahindra Group, a $19.4 billion global enterprise.

• Their client-first approach emphasizes speed, automation, visibility, and resilience, ensuring clients can not only adapt to change but thrive amidst it.

• The company is acknowledged as one of the top ten supply chain service providers by Gartner.

• Their 2,500+ professionals worldwide contribute to a culture built on integrity, collaboration, learning, and digital disruption.

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Profile Overview

• This role is ideal for individuals with a foundational understanding of data science, analytics, and data engineering concepts, especially fresh graduates and early professionals eager to grow in a dynamic environment.

• As an Associate Data Analyst, you'll support the data engineering and analytics teams in designing, developing, and maintaining efficient data pipelines and systems.

• The role demands collaboration across departments to ensure data quality, integrity, and usability in support of analytical and strategic initiatives.

• You'll be exposed to modern tools and technologies related to big data, cloud computing, ETL, and workflow orchestration.

• You'll work on projects involving transformation of raw data into meaningful insights, contributing to business decision-making and operational improvements.

• The position provides significant learning opportunities and the chance to develop technical and business skills in a supportive team-based setting.

• The job provides a gateway into the high-demand world of data engineering and analytics within a leading IT services company.

• Through hands-on experience, mentorship, and structured project involvement, you'll develop a robust technical foundation and business acumen.

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Qualifications

• Basic proficiency in programming languages commonly used for data processing such as Python, Java, or SQL.

• Understanding of database systems, particularly relational databases like MySQL or PostgreSQL.

• Foundational knowledge of data warehousing principles, including how data is structured, stored, and accessed efficiently.

• Some exposure to cloud technologies including Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure.

• Ability to understand and implement data models and schema structures.

• Interest or preliminary experience with big data tools such as Apache Spark, Hadoop, or Kafka is considered a plus.

• Analytical thinking and the ability to approach problems logically and creatively.

• Good verbal and written communication skills for documentation and collaboration with team members.

• Proactive attitude towards learning and upskilling with new tools and platforms.

• Familiarity with Agile or Scrum-based work environments is beneficial but not mandatory.

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Additional Info

• Bristlecone is committed to equal employment opportunities, embracing diversity in all forms, and ensuring a discrimination-free workplace.

• Candidates are expected to be mindful of information security standards and follow the company’s protocols for safeguarding internal systems and data.

• The role encourages active participation in the organization’s knowledge-sharing and training sessions.

• Teamwork and collaboration are crucial, as most tasks involve working alongside senior engineers, analysts, and project stakeholders.

• Flexibility to adapt to new roles and responsibilities based on evolving business needs.

• Employees are encouraged to take part in certification programs and continuous learning platforms to further their expertise.

• You'll be working within a vibrant environment that promotes innovation, sustainability, and long-term career development.

• Regular feedback, performance reviews, and mentorship are a part of the organizational culture to guide professional growth.

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Responsibilities

• Assist in the design and development of scalable data pipelines that facilitate the extraction, transformation, and loading (ETL) of data from various sources into centralized data lakes or data warehouses.

• Collaborate with data architects and senior engineers to map out data processing workflows and identify improvement opportunities.

• Write efficient code and scripts using SQL and Python to automate recurring data tasks and ensure consistency in reporting.

• Support integration of structured and unstructured data sources using APIs and data connectors.

• Help develop automated workflows for regular and ad-hoc data processing tasks.

• Contribute to the optimization of database queries and storage mechanisms to improve speed and performance.

• Troubleshoot operational issues related to data processing and help in root cause analysis to prevent recurrence.

• Create and maintain documentation related to data pipelines, architecture, workflows, and system configurations.

• Participate in knowledge exchange sessions within the team and contribute ideas for process improvements.

• Remain updated on emerging data tools and technologies to enhance project outcomes and increase productivity.

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Technical Skills (Nice to Have)

• Exposure to data visualization platforms like Tableau, Power BI, or Looker to assist in presenting data insights.

• Understanding of APIs and techniques used for integrating data from multiple sources.

• Working knowledge of Git or other version control systems for managing code repositories.

• Familiarity with scheduling and orchestration tools such as Apache Airflow or Luigi.

• Awareness of industry-standard practices in data governance and privacy.

• Comfort with working in cloud-based environments for deploying and scaling data solutions.

• Openness to exploring open-source technologies and contributing to internal R&D efforts.

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Soft Skills & Work Ethic

• Strong interpersonal skills with the ability to work well in team settings.

• Adaptability to fast-paced and evolving technical environments.

• Attention to detail, especially in data validation and error handling.

• Clear communication, especially when translating technical information to non-technical stakeholders.

• Willingness to take ownership of tasks and contribute proactively.

• Positive attitude towards feedback and a growth mindset.

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