Junior Data Analyst - Remote
Job Overview
| Job Title | Data Analyst |
|---|---|
| Experience | 2+ Years |
| Location | Remote |
| Employment Type | Full-Time |
| Industry | IT / Analytics |
| Tools Required | SQL, Python, Tableau |
| Education | Bachelor’s degree or higher in a relevant field |
Key Responsibilities
Collaborate with business stakeholders to gather data needs and deliver effective data solutions.
Perform root cause analysis and set up data quality checks to ensure accuracy.
Build interactive dashboards and reports that translate complex data into insights.
Deliver ad-hoc analysis and actionable recommendations for leadership.
Analyze business processes to identify improvement areas with data-driven insights.
Design and evaluate A/B testing experiments for product and feature enhancements.
Manage multiple priorities while maintaining high-quality outcomes.
✅ Required Skills & Qualifications
Minimum 2 years of experience as a Data Analyst.
Strong hands-on knowledge of SQL and Python.
Proficiency in data visualization tools like Tableau.
Good analytical mindset with attention to detail.
Basic knowledge of statistical analysis and data modeling.
Experience with data mining, ETL processes, and reporting automation.
Team player with the ability to work independently.
Familiarity with Machine Learning concepts is a plus.
💼 Why Join Us?
Work in a fast-paced, data-driven environment.
Collaborate with a talented and supportive team.
Opportunity to make a measurable business impact.
Continuous learning and upskilling encouraged.
SQL Reporting Engineer (Remote)
📌 Job Overview
| Job Title | SQL Reporting Engineer |
|---|---|
| Company | KLDiscovery |
| Location | Remote (India) |
| Experience Required | 2+ Years |
| Employment Type | Full-Time |
| Tools/Skills | SQL (T-SQL), SSRS, Power BI, ETL, R |
| Industry | IT / eDiscovery / Data Analytics |
🛠️ Key Responsibilities
Design and develop reports and dashboards using SSRS and Power BI
Write and optimize SQL queries and scripts (T-SQL required)
Build and maintain ETL workflows using SQL and R scripting
Develop robust data warehousing and engineering solutions
Work with stakeholders to understand requirements and deliver data-driven solutions
Analyze large datasets and integrate multiple data sources for meaningful insights
Support workflow automation and performance tuning
✅ Required Skills & Qualifications
Minimum 2 years of experience in report development and visualization (SSRS, Power BI, Tableau)
Proficient in T-SQL (PGSQL is a plus)
Experience with ETL development, large datasets, and data integration
Strong knowledge of data warehousing and data engineering
Familiarity with R or Python for data analysis
Experience with Azure DevOps, version control, and deployment
Scripting with DAX and Power Query (M) for Power BI
🌟 Company Culture & Perks
Work in a collaborative, global, and innovation-driven environment
Values: Humble, Hungry, Smart – we grow together as a team
Join a recognized leader ranked in Inc. 5000 and Deloitte Fast 500
Be part of a global team solving complex data challenges in 17+ countries
🏢 About KLDiscovery
KLDiscovery is a global provider of tech-enabled services helping organizations manage complex data and eDiscovery needs. With 30+ years of service, 26 offices globally, and ISO-certified data centers, KLDiscovery supports legal, corporate, and government clients with top-notch data solutions.
BI Analytics Intern
Internship Overview
| Job Title | BI Analytics Intern |
|---|---|
| Company | Acadia |
| Location | Remote (India) |
| Internship Duration | 6 Months |
| Stipend | ₹30,000/month |
| Work Timings | 3 PM – 12 AM IST |
| Future Opportunity | Full-time role based on performance |
| Job Type | Internship |
🛠️ Key Responsibilities
Learn and contribute to BI & Analytics projects for major clients
Work with modern BI tools like Tableau, Power BI, Looker, ThoughtSpot
Assist in dashboard creation, data processing, and reporting
Handle datasets using SQL, Snowflake, and scripting languages
Collaborate with teams to solve analytical problems
Present insights and findings using Excel, Google Sheets, and PowerPoint
✅ Eligibility & Qualifications
0–2 years of experience in analytics or relevant projects
Bachelor’s degree in Computer Science, Engineering, Mathematics, or related fields
Strong analytical and problem-solving skills
Basic understanding of JavaScript, CSS, or scripting languages
Familiar with SQL/Snowflake, Excel, PowerPoint, and dashboarding tools like Tableau or Power BI
Self-motivated, quick learner, and eager to grow in the analytics field
🌟 Why Join Acadia?
Hands-on exposure to real-world analytics work
Potential for full-time conversion after internship
Learn from industry experts in a fast-paced agency environment
Work fully remote from anywhere in India
Technical Support Engineer (SQL)
Job Details
| Job Title | Support Engineer (Remote) |
|---|---|
| Company | Firebolt |
| Job Location | Remote (Global Shifts – 24/7 Support) |
| Job Type | Full-Time |
| Industry | Cloud Data Warehouse / AI Infrastructure |
| Experience Level | Intermediate (2–5 Years Preferred) |
| Shift Type | Rotational (including night shifts) |
🔍 About the Role
As a Support Engineer, you’ll be at the frontline of technical support — helping customers troubleshoot issues, analyze performance, and optimize usage of Firebolt’s cloud data platform. You’ll work across Slack, email, and video calls, using your expertise in SQL, databases, and cloud systems to deliver fast and effective solutions.
🛠️ Key Responsibilities
Provide top-notch support via Slack, email, and occasional calls
Investigate issues using SQL, logs, and observability tools
Document best practices and contribute to internal knowledge resources
Collaborate with engineers to resolve escalated issues
Work with high-scale, data-driven applications and complex customer ecosystems
Proactively publish support content for common queries
✅ Required Skills & Experience
Experience supporting cloud-based data platforms
Proficiency in SQL and relational databases
Technical troubleshooting for APIs, logs, SDKs, and scripts
Strong written communication and incident resolution experience
Experience with data warehouse or database products
Ability to manage high-pressure, customer-facing technical situations
➕ Bonus Skills (Nice to Have)
Familiarity with cloud infrastructure (VMs, proxies, load balancers)
Hands-on with monitoring tools like Prometheus, Grafana, ELK
Knowledge of scripting languages (Python, Bash, etc.)
Prior experience in technical customer support or DevOps environments
🌍 Why Firebolt?
Be part of a fast-growing AI-data infrastructure company
Work with global teams and clients on impactful data solutions
Competitive compensation and flexible remote work setup
Learn from a passionate team building world-class cloud platforms
Junior Data Engineer (Immediate Joiner Only)
📌 Job Overview
| Position | Junior Data Engineer |
|---|---|
| Company | Pacific Data Integrators (PDI) |
| Location | Remote (Work from Home) |
| Shift Timing | 5:00 PM – 2:00 AM IST |
| Experience Required | 1–2 Years (Freshers with strong skills can apply) |
| Joining | Immediate / Max 15 Days Notice Period |
| Employment Type | Full-Time |
🔍 Key Responsibilities
Design, develop, and maintain ETL pipelines to process large data sets
Assist in data cleaning, transformation, and validation
Work with senior engineers to support enterprise data solutions
Ensure data quality, consistency, and performance optimization
Contribute to ongoing projects in diagnostic, descriptive, predictive, and insight-driven analytics
✅ Must-Have Skills
1–2 years of experience in Data Engineering or ETL tools
Strong understanding of SQL, data integration, and data warehousing concepts
Excellent verbal and written communication skills
Willingness to work in evening IST shift
Ability to join within 15 days or less
🚀 Preferred Qualifications
Good academic record in Computer Science or related fields
Exposure to any ETL tools like Informatica, Talend, or Apache NiFi
Familiarity with cloud platforms (AWS, GCP, Azure) is a plus
Strong problem-solving and analytical mindset
🌟 Why Join PDI?
Work on global enterprise data projects
Get mentored by industry experts in data engineering
Fast-track your career growth in a high-demand field
Competitive compensation and fully remote setup
