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Data Analyst

Data Analyst

AmpleKarnataka, India
3 days ago
Job description

Job Title : Data Analyst

Location : Bengaluru

Experience : 1-4 years

Why Ample : We value our team members, and you can look forward to

  • Humane work environment with strong focus on people well - being
  • Work Culture that is growth oriented and fun
  • Continuous learning - on the job as well as through programs, and mentoring
  • Compensation in line with the best in the industry

Ample is a 29 years old organisation. What does it mean for you?

  • We are a stable organisation with over 29 years of experience in SI / IT - in an environment where companies rarely cross 10
  • We have built trusting relationships - with team members, customers and partners, several of them for over a decade, and many over two decades.
  • We have navigated diverse challenges, disruptions and have navigated them all, and emerged triumphant.
  • The foundation for future growth is on the following foundations

  • Globally revered brands in partnerships with Ample - in the enterprise and retail industry
  • You would be representing a brand that the market has revered and valued over two decades
  • We aspire to grow at a trailblazing pace over the next 5 years, and reach USD 1 Billion. This will need leaders who can take the mantle of responsibility towards this opportunity.
  • Our current enterprise base of 1500 customers is spread across the country and will become the core of our growth engine
  • We live our vision and values

  • Our customers and team members experience this every day, making it a place to be for anyone engaging with us
  • We have an open culture where people are expected to focus on what-is-right instead of who-is-right. Feedback, suggestions and comments are encouraged, and acted upon. Anyone can speak to anyone in the organisation.
  • Key Responsibilities :

  • Gathering data from various sources, including databases, spreadsheets, and other systems.
  • Cleaning and preparing data for analysis by removing errors, handling missing values, and transforming data into usable formats.
  • Designing and maintaining data systems and databases
  • Conducting statistical analysis to identify trends, patterns, and relationships within the data.
  • Using data visualization tools to create charts, graphs, and dashboards that communicate findings effectively.
  • Developing predictive models to forecast future trends and outcomes.
  • Creating reports and presentations that summarize findings and recommendations for stakeholders.
  • Explaining complex data insights in a clear and concise manner to both technical and non-technical audiences.
  • Collaborating with other teams and departments to share insights and contribute to business strategies.
  • Identifying areas for improvement within the organization based on data analysis.
  • Recommending solutions to address identified problems and optimize business processes.
  • Proactively suggesting improvements based on data insights.
  • Automating data workflows and reports to improve efficiency and reduce manual efforts.
  • Maintaining data integrity and security across all sources and systems.
  • Monitoring KPIs and performance metrics and alerting relevant teams on variances.
  • Staying up to date with new data technologies and methodologies to enhance analysis quality.
  • Automating data workflows and reports to improve efficiency and reduce manual efforts.
  • Maintaining data integrity and security across all sources and systems.
  • Monitoring KPIs and performance metrics and alerting relevant teams on variances.
  • Staying up to date with new data technologies and methodologies to enhance analysis quality.
  • Knowledge & Skills : Technical Skills

    Proficiency in data analysis tools (e.g., Power BI,SQL, Python, Excel), statistical analysis, and data visualization techniques.

    Analytical Skills :

    Strong ability to analyze data, identify trends, and draw meaningful conclusions.

    Communication Skills :

    Excellent written and verbal communication skills to present findings and recommendations effectively.

    Problem-Solving Skills :

    Ability to identify and resolve data-related issues and contribute to process improvements.

    Business Acumen :

    Understanding of business needs and the ability to translate data insights into actionable recommendations.

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