Job Title: Data Analyst
Location: Bengaluru
Experience: 1-4 years
Why Ample:
- 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.
