Data Analyst
Sriven Systems Inc.
United States
2 months ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
Tech stack
Microsoft Excel
Data Analysis
Spreadsheets
Configuration Management Databases
Data Architecture
Information Engineering
Data Integration
Data Integrity
Extract Transform Load (ETL)
Data Transformation
Information Technology Operations
Microsoft SQL Server
+11 more
Power BI
Microsoft SharePoint
SQL Databases
SQL Server Integration Services
Technical Data Management Systems
Backend
Data Management
Data Pipelines
Powerapps
Server Operating Systems & Platforms
Servicenow
Job description
- Data is pulled from multiple sources:ServiceNow (primary source) Compliance reporting Daily updates from multiple PMs (Excel)
- Data is:Combined in SQL Server Output into a daily Excel workbook Fed into Power BI dashboards for leadership reporting
- Purpose:Track server refresh progress, remediation plans, and timelines, Current-State Assessment & Process Understanding
- Learn and document current reporting workflows and dependencies
- Recreate existing reporting and data processes to ensure continuity
- Analyze current-state pain points, bottlenecks, and data quality issues
Data Analysis & Process Optimization
- Evaluate existing data architecture and workflows
- Identify opportunities to improve efficiency, reliability, and scalability
- Recommend better approaches for data collection, transformation, and reporting
- Improve data integrity across multiple systems and reporting sources
Automation & Solution Development
- Design and implement automation for recurring manual processes
- Develop scalable data pipelines and backend integrations
- Reduce reliance on manual spreadsheet-based workflows
- Support sustainable reporting and operational efficiencies
Reporting & Visualization
- Maintain and enhance Power BI dashboards used by leadership
- Build meaningful visualizations that clearly communicate trends, risks, and progress
- Translate technical data into business-focused insights and executive reporting
Requirements
- Current workflow is:Manual, fragmented, and inefficient Heavy reliance on Excel
- ServiceNow data is used but not fully authoritative
- Team wants to eliminate intermediate/manual steps
Ideal Candidate Capabilities
- Strong in:SQL / data engineering Power BI Data integration & automation (e.g., SSIS)
- Able to:Design more automated, scalable data pipelines Improve process efficiency and reduce manual effort Analyze and re-architect the current process ( why are we doing it this way? ), We are seeking a highly analytical and technically skilled Senior Data Analyst / Data Automation Consultant to support a large-scale server refresh program. This role will focus on improving and automating complex reporting workflows by integrating multiple data sources, optimizing data processes, and delivering scalable reporting solutions.
The ideal candidate combines strong technical expertise with business acumen and can proactively identify inefficiencies, recommend improvements, and build sustainable automation solutions., * Strong experience with SQL / SQL Server
- Experience with Power BI development and reporting
- Experience with SSIS (SQL Server Integration Services) or similar ETL/data integration tools
- Strong understanding of data modeling, data transformation, and data pipelines
- Experience working with multiple enterprise data sources
- Advanced Excel/data management experience
- Experience automating manual reporting processes
Preferred Experience
- Experience with ServiceNow data/CMDB environments
- Familiarity with SharePoint Lists, Microsoft Lists, or Power Apps
- Experience in enterprise infrastructure, server environments, or IT operations reporting
- Experience working in highly regulated or large enterprise environments, We are looking for someone who:
- Is highly analytical and naturally curious
- Demonstrates strong root-cause analysis skills ( Five Whys mindset)
- Thinks strategically and challenges inefficient processes
- Can independently identify smarter, more sustainable solutions
- Understands how to tell a compelling story with data for leadership audiences
- Balances technical depth with business understanding
Success Milestones
Phase 1: Understand and recreate the current process
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