Senior Data Analyst
Role details
Job location
Tech stack
Job description
Perform data analysis across multiple enterprise systems to identify trends anomalies and actionable insights
Ensure data quality integrity and consistency through validation checks audits and reconciliation processes
Conduct variance analysis to compare planned vs actual metrics and highlight key business deviations
Apply basic statistical models to interpret data patterns and support business decisionmaking
Develop and maintain analytical models scripts and dashboards using Python or R
Collaborate with business stakeholders to translate analytical findings into meaningful insights
Prepare clear concise reports and visualizations for leadership and operational teams
Support data governance initiatives by identifying data gaps and recommending improvements
Perform root cause analysis on key metric deviations and provide recommendations for corrective actions
Document data analysis processes assumptions and findings for traceability and auditability
Requirements
Do you have experience in Trend analysis?, The ideal candidate will bring a strong analytical mindset with handson expertise in data analysis PythonR scripting and data validation rather than engineeringheavy data pipeline development, Core Skills
Strong expertise in data analysis data profiling and data validation
Handson experience with Python or R for data analysis and scripting
Solid understanding of basic statistics mean variance correlation regression trend analysis
Experience in variance analysis and business performance tracking
Advanced proficiency in Excel pivot tables data modeling formulas
Data Tools
Experience working with SQL and relational databases
Familiarity with BI tools Power BI Tableau or similar for data visualization
Exposure to large datasets and enterprise data environments
Analytical Business Skills
Strong problemsolving and analytical thinking
Ability to derive insights from complex datasets
Excellent communication skills to present datadriven insights to business stakeholders
Preferred Qualifications
Experience working in real estate facilities management or enterprise operations
Exposure to data governance or data quality frameworks
Experience supporting business performance reporting KPI frameworks
Benefits & conditions
(part of Larsen and Toubro (L&T)) 3.73.7 out of 5 stars Dallas, TX $100,000 - $130,000 a year, Pulled from the full job description
- Paid parental leave
- Parental leave
- Health insurance
- 401(k) matching
- Vision insurance
- Dental insurance
- Life insurance, Mandatory Skills : Dimensional Data Modeling, PowerBI, Python for DATA, Statistics-Data Science, Tableau Good to Have Skills : PySpark-Data Science, Python - Data Science, R - Data Science Other details
Variable Compensation: This position includes a bonus or variable payout component based on individual and organizational performance. Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.
Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree ("LTIM"):
Benefits and Perks:
- Comprehensive Medical Plan Covering Medical, Dental, Vision
- Short Term and Long-Term Disability Coverage
- 401(k) Plan with Company match
- Life Insurance
- Vacation Time, Sick Leave, Paid Holidays
- Paid Paternity and Maternity Leave
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation., Compensation range: $100,000.00 to $130,000.00 per year