The Data Analyst prepares, analyzes, and validates data, applying statistical methods and visualization techniques to derive insights and support business objectives. Communicates findings effectively and collaborates with Data Engineers for model and dashboard implementation.
This is a remote position.
Responsibilities:
- Prepares and analyses data. This can include locating, profiling, cleansing, extracting, mapping, importing, validating or modelling.
- Applies query, data exploration and transformation, basic statistical methods and visualization techniques to build business insights or improve data quality.
- Performs validation and testing to confirm the accuracy of the information built.
- Interprets results of analyses, identifies trends and issues, and develops recommendations to support business objectives.
- Communicates valuable information so that it is easy to understand and influences others to act based on the useful information provided.
- Think strategically about data as a core enterprise asset and assist in all phases of the advanced analytic development process
- Work with Data engineers to supervise and help institutionalize models and dashboards for Analytics
- Slice and dice through the database and come up with actionable analytical insights
- Support other task as assigned (dashboard, reporting, governance of data using audits to identify gaps and opportunities)
Requirements
Skills:
- Proven experience in OTC domain
- Analytical aptitude - problem solving, quantitative
- Knowledge on retail and FMCG/CPG industry, exposure to CPG/Consumer data
- Analytical skills, problem solving ability and attention to detail
- Should have ability to handle large data sets in arriving at meaningful findings.
- Proficiency with Microsoft Office Suite
- Work in a dynamic and fast-paced environment without compromising the quality
Similar Jobs
.jpg){kind=logo}
Artificial Intelligence • Cloud • Software • Big Data Analytics
The Senior Solutions Architect will design and develop scalable data solutions, manage Hadoop clusters, and collaborate with clients to resolve complex data challenges.
Top Skills:
AnsibleApache HiveBashChefHadoopJavaNifiPerlPuppetPythonScalaSpark
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead and grow engineering teams building large-scale AI/ML platform infrastructure (model serving, training, feature stores). Drive technical strategy, deliver complex backend systems to production, partner with product and stakeholders, uphold high engineering and operational standards, and coach engineers for career growth.
Top Skills:
Backend PlatformsDistributed SystemsFeature StoresGpu-Accelerated Model ServingLlmsTraining And Data Access Infrastructure
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Manage large enterprise accounts to retain and expand Atlassian product usage. Build and sustain senior/executive relationships, lead high-value renewals and complex sales cycles, forecast owned book of business, identify and mitigate customer risk, collaborate with Sales and channel partners, and use data and product knowledge to discover expansion opportunities.
Top Skills:
Atlassian ProductsClariSalesforceTableau
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
