Data Analyst
Stovl Consulting
At a glance
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Job description
A B O U T S T O V L
Stovl has evolved from data center services into end-to-end system lifecycle delivery, combining Product Engineering, Cloud Automation, Data Engineering, Artificial Intelligence, and Cybersecurity to build cohesive, operable platforms. We operate as a global delivery firm supporting customers across the US, India, and Singapore - serving fintech, insurance, SaaS, industrial IoT, and regulated enterprises.
P O S I T I O N O V E R V I E W
We are looking for a Data Analyst who combines strong analytical thinking with modern data and automation skills. The ideal candidate should be hands-on with SQL, Python, Power BI/Tableau, data modelling, automation, and advanced analytics, and be comfortable turning ambiguous business problems into measurable, data-driven solutions.
K E Y R E S P O N S I B I L I T I E S
Read full description
- Advanced Data Analytics: Analyse complex datasets using SQL and Python to identify trends, anomalies, patterns, bottlenecks, and root causes.
- SQL & Analytical Data Preparation: Develop complex SQL queries, transformations, reusable datasets, and analytical models across multiple data sources.
- BI & Visualisation: Build and enhance Power BI/Tableau dashboards, KPIs, DAX/calculation, drill-downs, and automated reporting.
- Data Quality & Reconciliation: Develop validation, reconciliation, and exception logic to identify inconsistencies and improve data reliability.
- Python & Automation: Use Python, Pandas, APIs, and automation to streamline data processing, reporting, validation, and repetitive workflows.
- Operational Analytics: Perform KPI, SLA, variance, trend, and performance analysis to identify actionable business improvements.
- Predictive & Advanced Analytics: Apply statistical analysis, forecasting, anomaly detection, and predictive techniques to support proactive decision-making.
- AI / GenAI: Identify and develop practical AI/ML/GenAI use cases for intelligent insights, anomaly detection, natural-language analytics, and workflow automation.
- Returns Authorization & Management: Review, process, and authorize hardware return requests from customers and field technicians.
- Stakeholder Collaboration: Work with business and technical teams to define requirements, validate insights, communicate findings, and deliver data-driven solution.
R E Q U I R E D S K I L L S & Q U A L I F I C A T I O N S
- 3-5 years of experience in Data Analytics, Business Intelligence, or Operations Analytics
- Strong hands-on SQL and strong experience with Power BI or Tableau
- Hands-on experience with Python
- Experience with data modeling, transformation, validation, and reconciliation
- Strong understanding of KPIs, metrics, and analytical techniques
- Experience working with multiple data sources
- Strong analytical, logical, and problem-solving skills
- Good communication and stakeholder-management skills
P R E F E R R E D S K I L L S
- AI/ML, Generative AI, LLMs
- Forecasting, predictive analytics, and anomaly detection
- APIs and ETL/ELT concepts
- Snowflake, Databricks, Microsoft Fabric, AWS, or Azure
- Experience in technology, hardware, inventory, supply chain, or other operational domains
E D U C A T I O N
Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
Kindly reach out to the below mail to share your updated resume.
tharun. - Tharun (HR - Stovl)
Mobile
Key skills
- AI
- Analytics
- Anomaly Detection
- API
- Automation
- AWS
- Azure
- Business Intelligence
- Cloud
- Cybersecurity
Important dates
Eligibility
Education
Graduate.
Age limit
See the official notice for the age limit.
How to apply
- 1
Open the official careers page on instahyre.com.
- 2
Create an account and fill in your education and contact details.
- 3
Upload your resume as a PDF under the size the form asks for.
Photos to PDF - 4
Submit and note your application ID for the test and interview emails.