Remote Big Data Business Analyst

Description

Remote Big Data Business Analyst

Company: Naukri Mitra

Salary: $94,537 annually

About Us
Naukri Mitra is a well-established recruitment company that connects skilled professionals with exceptional career opportunities across various industries. Our mission is to empower our clients and candidates by providing reliable, efficient, and tailored recruitment solutions. We seek an experienced Big Data Business Analyst to work remotely and assist our clients in using big data to drive strategic decision-making, optimize performance, and achieve business growth.

Job Overview
We seek a highly analytical and skilled Big Data Business Analyst to join our team remotely. In this role, you will work with large datasets, analyze complex data, and deliver data-driven insights that inform business decisions. You will collaborate closely with stakeholders to understand business needs, identify opportunities for data-driven improvements, and provide actionable recommendations. The ideal candidate will have a strong background in data analysis, big data technologies, business strategy and a passion for turning data into valuable insights.

Key Responsibilities

  • Collaborate with clients to understand their business requirements, data needs, and objectives, providing data-driven solutions that support strategic decision-making.
  • Analyze large datasets from various sources, including structured and unstructured data, to identify trends, patterns, and actionable insights.
  • Develop data models, dashboards, and reports to visualize data and communicate insights to clients and stakeholders.
  • Utilize big data tools and technologies to extract, transform, and load (ETL) data from various sources, ensuring data quality and accuracy.
  • Conduct data analysis to uncover opportunities for process optimization, cost reduction, and revenue growth.
  • Work closely with cross-functional teams, including IT, product development, and marketing, to align data insights with overall business strategies.
  • Provide actionable recommendations to clients based on data analysis, helping them make informed decisions that drive business growth and efficiency.
  • Assist clients in developing key performance indicators (KPIs) to measure the success of business initiatives and track progress over time.
  • Stay current with industry trends, emerging big data technologies, and best practices in data analysis and business intelligence.
  • Design, implement, and manage data analytics projects, ensuring alignment with clients' objectives and the delivery of meaningful insights.
  • Document data analysis processes, methodologies, and project outcomes to facilitate transparency and knowledge sharing within the team.
  • Identify potential risks and challenges associated with data projects and develop risk mitigation strategies.

Required Skills and Qualifications

  • Bachelor's degree in Data Science, Business Administration, Statistics, Computer Science, or a related field.
  • Minimum of 3 years of experience in data analysis, big data, or a similar role involving large datasets and business analysis.
  • Proficiency in big data tools and technologies like Hadoop, Spark, Hive, or similar platforms.
  • Strong SQL, Python, or R programming skills for data analysis and modeling.
  • Experience creating impactful visual reports using data visualization tools such as Tableau, Power BI, or similar platforms.
  • Excellent problem-solving skills, with the ability to analyze complex data and derive meaningful insights.
  • Strong understanding of ETL processes, data modeling, and data architecture.
  • Ability to communicate technical findings to non-technical stakeholders through clear and concise reports and presentations.
  • Ability to manage multiple projects simultaneously, prioritize tasks, and meet deadlines in a remote work environment.
  • Strong attention to detail and a commitment to data quality and accuracy.
  • Ability to work independently while also being a collaborative member of a team.

Preferred Skills

  • Master's degree in Data Science, Business Analytics, or a related field.
  • Experience working with cloud-based big data platforms, such as AWS, Google Cloud, or Azure, for data processing and analysis.
  • Familiarity with data mining techniques, clustering analysis, and predictive modeling to derive insights from large datasets.
  • Knowledge of business intelligence and reporting tools, such as SAP BusinessObjects or SAS.
  • Experience in customer analytics, including customer segmentation, lifetime value analysis, and churn prediction.
  • Understanding of A/B testing methodologies and experimental design to measure the impact of business initiatives.
  • There is a strong interest in emerging technologies, such as artificial intelligence and machine learning, and their applications in data analysis.
  • Familiarity with Agile or Scrum project management methodologies to support the implementation of data projects.

Why Join Us

  • Work remotely from anywhere, with the flexibility to manage your schedule and achieve work-life balance.
  • Collaborate with leading companies across various industries, helping them achieve business growth through data-driven insights.
  • Competitive salary of $94,537 annually, commensurate with skills and experience.
  • Be part of a supportive and passionate team that values innovation, creativity, and professional growth.
  • Gain exposure to various industries and clients, enhancing your expertise in big data and business analysis.
  • Access to professional development and training opportunities to further your career growth.
  • Work on challenging and meaningful projects that directly impact clients' business strategies and success.

Who You Are

You are an analytical, data-driven professional passionate about working with large datasets and deriving insights that drive business growth. You have strong technical skills in extensive data analysis, modeling, and visualization and are comfortable working with structured and unstructured data. You thrive in a remote work environment, managing multiple projects while maintaining high standards of quality and accuracy. You are curious about emerging technologies, industry trends, and data-driven best practices. You are eager to contribute to the success of a forward-thinking company like Naukri Mitra, where your skills and insights can make a real difference.

If you are ready to leverage your extensive data expertise to help clients achieve their strategic goals, we encourage you to apply for this exciting opportunity with Naukri Mitra.

How to Apply

If you are interested in this role, please submit your application through Naukri Mitra's application portal. We look forward to reviewing your qualifications and getting to know you better.

Frequently Asked Questions (FAQs)

1. How does the Remote Big Data Business Analyst position utilize big data tools?

This role uses big data tools like Hadoop, Spark, and Hive to extract, transform, and load data, ensuring high-quality insights are derived from large datasets.

2. What kind of insights does the Remote Big Data Business Analyst position provide to clients?

This role analyzes large datasets to uncover trends, patterns, and opportunities, providing actionable recommendations that help clients optimize performance and drive business growth.

3. How does the Remote Big Data Business Analyst position support cross-functional collaboration?

This role works with cross-functional teams, including IT, marketing, and product development, to align data-driven insights with overall business strategies and objectives.

4. What methodologies are used in the Remote Big Data Business Analyst position for data analysis?

This role uses methodologies like ETL, data modeling, and clustering analysis to analyze structured and unstructured data and provide meaningful insights.

5. What are the key responsibilities in the Remote Big Data Business Analyst position?

This role involves analyzing complex datasets, developing dashboards, providing data-driven solutions, and helping clients establish KPIs to measure the success of their initiatives.