Data Analyst

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.