Data Analyst at Britannia Industries - Remote Job Position

Job Description

Company Overview

Britannia Industries is a leading global food and beverage company renowned for its commitment to quality, innovation, and sustainability. With a diverse portfolio that spans bakery, dairy, and snack products, Britannia serves millions of consumers across more than 60 countries. The company invests heavily in data‑driven decision making to enhance product development, optimize supply chain efficiency, and deliver personalized consumer experiences. As part of its digital transformation strategy, Britannia is expanding its analytics capabilities and seeks talented professionals to join its remote workforce.

Position Summary

The Data Analyst will play a pivotal role in turning complex data sets into actionable insights that support strategic initiatives across marketing, operations, and product innovation. This remote position requires a blend of statistical expertise, machine‑learning proficiency, and strong programming skills to develop predictive models, automate data pipelines, and create compelling visualizations for stakeholders at all levels.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines using big‑data technologies such as Hadoop and Spark.
  • Perform data cleaning, preprocessing, and feature engineering to ensure high‑quality inputs for analytical models.
  • Apply machine‑learning algorithms and libraries (e.g., scikit‑learn, TensorFlow, PyTorch) to build predictive and classification models that address business challenges.
  • Conduct statistical analysis and modeling to uncover trends, correlations, and causal relationships within large data sets.
  • Create interactive dashboards and visualizations using tools such as Tableau, Power BI, or Python libraries (Matplotlib, Seaborn) to communicate findings effectively.
  • Collaborate with cross‑functional teams—including marketing, supply chain, and product development—to translate analytical results into actionable recommendations.
  • Document analytical methodologies, code repositories, and data lineage to ensure reproducibility and compliance with data governance standards.
  • Stay current with emerging analytics techniques and industry best practices, and mentor junior analysts as needed.

Required Qualifications

  • 1 to 14 years of professional experience in data analysis, data science, or a related field.
  • Proven expertise in machine learning algorithms and libraries such as scikit‑learn, TensorFlow, or PyTorch.
  • Strong background in statistical analysis and modeling, including hypothesis testing, regression, and time‑series analysis.
  • Extensive experience with data preprocessing and cleaning techniques for structured and unstructured data.
  • Hands‑on experience with big data technologies (Hadoop, Spark) for large‑scale data processing.
  • Advanced proficiency in Python and/or R for data manipulation, analysis, and model development.
  • Demonstrated ability to create clear, impactful data visualizations for technical and non‑technical audiences.
  • Excellent problem‑solving skills, attention to detail, and the ability to work independently in a remote environment.

Required Education

A post‑graduate degree (M.Sc., M.S., MBA, or equivalent) in Data Science, Statistics, Computer Science, Engineering, or a related quantitative discipline is mandatory.

Desired Skills

  • Familiarity with cloud platforms (AWS, Azure, GCP) for data storage and compute.
  • Experience with SQL and NoSQL databases.
  • Knowledge of A/B testing frameworks and experimental design.
  • Understanding of data governance, privacy regulations, and security best practices.
  • Effective communication and storytelling abilities to convey complex insights succinctly.

Compensation & Benefits

Britannia Industries offers a competitive salary range of $65,000 to $115,000 annually, commensurate with experience and expertise. Additional benefits include:

  • Flexible remote work arrangement.
  • Health, dental, and vision insurance.
  • Retirement savings plan with company match.
  • Professional development stipend and access to continuous learning resources.
  • Paid time off and holidays aligned with global standards.

How to Apply

Interested candidates should visit the Britannia Industries careers portal, locate the Data Analyst – Remote posting, and submit an up‑to‑date resume along with a cover letter that highlights relevant experience and achievements. Ensure that your application clearly demonstrates how your skills align with the responsibilities and qualifications outlined above. Applications will be reviewed on a rolling basis, and qualified candidates will be contacted for the next steps.

Required Skills

  • Machine learning algorithms and libraries (e.g.
  • scikit-learn
  • TensorFlow
  • PyTorch) Statistical analysis and modeling Data preprocessing and cleaning Big data technologies (e.g.
  • Hadoop
  • Spark) Data visualization Strong programming skills (Python
  • R)

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