IT Data Analyst & Support SpecialistSilver Hill Energy Partners • Dallas, Texas, United States
IT Data Analyst & Support Specialist
Silver Hill Energy Partners
- Dallas, Texas, United States
- Dallas, Texas, United States
À propos
Job Description We are looking for a technically versatile professional who sits at the intersection of data analysis and IT support. About half of your time will be spent on data-driven projects — building reports and dashboards, writing SQL queries, automating repetitive workflows, and helping the business make better decisions through data. However, when employees need technical support, you’ll be the person they turn to.
This is not a traditional help desk role. If you’ve ever felt underutilized in a pure support position and wished you could spend more of your time building something meaningful with data, this role was designed for you.
Job Duties Data & Analytics
Build and maintain interactive dashboards and reports using Power BI and/or Spotfire to support business decision-making across departments
Write, optimize, and maintain SQL queries to extract, transform, and analyze data from company databases
Develop Python scripts to automate repetitive business and IT processes, reducing manual effort and improving accuracy
Manage and maintain data pipelines, ensuring data integrity, accuracy, and accessibility across systems
Identify opportunities to automate manual workflows and implement solutions using Python, Power Automate, or similar tools
Collaborate with department leaders to understand their data needs and translate them into actionable reports and visualizations
Document data processes, query logic, and automation workflows for maintainability and knowledge transfer.
IT Help Desk Support
Serve as a point of contact for employee IT issues including hardware, software, email, connectivity, and account access
Manage and resolve support tickets in a timely manner, maintaining a positive and patient experience for all employees
Assist with onboarding and offboarding processes including device setup and account provisioning
Escalate complex infrastructure issues to appropriate vendors or senior IT.
Required Experience / Qualifications Required
Proficiency in at least two of the following: SQL (querying and data analysis), Python, Power BI, Spotfire, or workflow automation tools
Experience working with structured data — querying databases, cleaning datasets, or building reports
Comfortable working cross-departmentally and managing your priorities
Strong communication skills — able to explain data findings and technical issues to non-technical colleagues clearly and patiently
Some experience providing technical support to end users, even if not in a formal help desk role.
Preferred
Experience with Power BI or Spotfire dashboard development
Python scripting for automation, data processing, or reporting
SQL querying for data extraction and analysis (not database administration)
Familiarity with Power Automate or similar workflow automation platforms
Help desk or IT support experience in a corporate environment.
Nice to Have
Experience with data governance or data quality management
Familiarity with Azure Data Services, Google BigQuery, or similar cloud data platforms
Any relevant certifications: Microsoft Power BI Data Analyst (PL-300), CompTIA A+, Google Data Analytics, or similar.
Why This Role Is Different Most data analyst roles don’t want you touching anything IT-related. Most help desk roles don’t let you anywhere near the data. This position gives you ownership of both — with the flexibility to grow your data and automation skills while staying connected to the practical, people-facing side of the business.
Compensation & Schedule
Pay: $32–$40/hour, depending on qualifications and experience
Monday–Friday, on-site at our Uptown Dallas office
No after-hours or weekend support required
Contract position
Benefits
Annual bonus based on company and personal performance
Paid time off
401k matching program
Health and dental benefits
Onsite workout facility
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Compétences linguistiques
- English
Avis aux utilisateurs
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