| Job Title: | Data Analyst (Hybrid Onsite) |
| Location: | Mechanicsville VA |
| Duration: | 6 months |
| Pay Rate: | $55/hr on C2C / 1099 all inclusive (OR) $50/hr on W2 |
| Interview Process: | Webcam Interviews |
| Job Description | This role is pivotal in analyzing modeling and forecasting financial data related to Azure cloud services and on-premises data center workloads. The ideal candidate combines financial acumen with strong data analytics skills to support strategic decision-making and cost optimization initiatives. Key Responsibilities: -
Analyze and interpret IT financial data across Azure and VITA environments including consumption billing and chargeback models. -
Develop and maintain Power BI dashboards and reports to visualize cost trends server migration impacts and workload optimization opportunities. -
Perform variance analysis on monthly and annual IT spend identifying anomalies and opportunities for savings. -
Manually maintain and enhance datasets from Apptio Azure Portal and SharePoint sources to ensure accuracy and completeness. -
Document processes and procedures for financial reporting and analysis -
Collaborate with the technical cloud team I&O team and finance stakeholders to align cost models with operational realities. -
Support Azure migration planning by modeling server cost scenarios and forecasting reserve capacity needs. -
Contribute to FinOps strategy development by providing insights on cost drivers and utilization patterns. Required Skills & Qualifications: -
Bachelors degree in Finance Data Analytics Information Systems or related field. -
Advanced level of proficiency in Power BI including Power Query and DAX Excel (advanced) and data visualization best practices. -
Some data modeling and data manipulation skills to maintain data sets from multiple heterogenous sources -
High familiarity with Azure cost management Apptio and cloud billing structures. -
Understanding of server migration strategies and workload cost modeling. -
Ability to translate technical data into insights for technical teams and managers Preferred Qualifications: -
FinOps certification or training. -
Experience with Azure Reserved Instances and Just-In-Time (JIT) capacity planning. -
Knowledge of enterprise architecture and strategic IT planning frameworks. |
| Top Skills & Years of Experience | Required/Desired Skills | Skill | Required /Desired | Amount | of Experience | | Bachelors degree in Finance Data Analytics Information Systems or related field. | Required | 4 | Years | | Advanced level of proficiency in Power BI including Power Query and DAX Excel (advanced) and data visualization best practices. | Required | 5 | Years | | Some data modeling and data manipulation skills to maintain data sets from multiple heterogenous sources | Required | 5 | Years | | High familiarity with Azure cost management Apptio and cloud billing structures. | Required | 5 | Years | | Understanding of server migration strategies and workload cost modeling. | Required | 5 | Years | | Ability to translate technical data into insights for technical teams and managers | Required | 5 | Years | |
| Recruiter Details: | Kris : Lokesh : Eight three two - Nine nine zero -Two four two six Sameer : Seven one nine two three nine Five five five five |
About US:
GSK Solutions Inc. is a premier information technology services company dedicated to delivering exceptional consulting solutions and staff augmentation to our valued clients. With an unwavering commitment to quality timeliness and budgetary considerations we consistently strive to exceed client expectations building a strong reputation through our reliable execution. Our expertise spans commercial and custom product development covering information security software development consulting and IT audits. We excel in managing critical time-sensitive projects for Fortune 500 clients nationwide ensuring their success is always at the forefront of our mission.
Job Title: Data Analyst (Hybrid Onsite) Location: Mechanicsville VA Duration: 6 months Pay Rate: $55/hr on C2C / 1099 all inclusive (OR) $50/hr on W2 Interview Process: Webcam Interviews Job Description This role is pivotal in analyzing modeling and forecasting...
| Job Title: | Data Analyst (Hybrid Onsite) |
| Location: | Mechanicsville VA |
| Duration: | 6 months |
| Pay Rate: | $55/hr on C2C / 1099 all inclusive (OR) $50/hr on W2 |
| Interview Process: | Webcam Interviews |
| Job Description | This role is pivotal in analyzing modeling and forecasting financial data related to Azure cloud services and on-premises data center workloads. The ideal candidate combines financial acumen with strong data analytics skills to support strategic decision-making and cost optimization initiatives. Key Responsibilities: -
Analyze and interpret IT financial data across Azure and VITA environments including consumption billing and chargeback models. -
Develop and maintain Power BI dashboards and reports to visualize cost trends server migration impacts and workload optimization opportunities. -
Perform variance analysis on monthly and annual IT spend identifying anomalies and opportunities for savings. -
Manually maintain and enhance datasets from Apptio Azure Portal and SharePoint sources to ensure accuracy and completeness. -
Document processes and procedures for financial reporting and analysis -
Collaborate with the technical cloud team I&O team and finance stakeholders to align cost models with operational realities. -
Support Azure migration planning by modeling server cost scenarios and forecasting reserve capacity needs. -
Contribute to FinOps strategy development by providing insights on cost drivers and utilization patterns. Required Skills & Qualifications: -
Bachelors degree in Finance Data Analytics Information Systems or related field. -
Advanced level of proficiency in Power BI including Power Query and DAX Excel (advanced) and data visualization best practices. -
Some data modeling and data manipulation skills to maintain data sets from multiple heterogenous sources -
High familiarity with Azure cost management Apptio and cloud billing structures. -
Understanding of server migration strategies and workload cost modeling. -
Ability to translate technical data into insights for technical teams and managers Preferred Qualifications: -
FinOps certification or training. -
Experience with Azure Reserved Instances and Just-In-Time (JIT) capacity planning. -
Knowledge of enterprise architecture and strategic IT planning frameworks. |
| Top Skills & Years of Experience | Required/Desired Skills | Skill | Required /Desired | Amount | of Experience | | Bachelors degree in Finance Data Analytics Information Systems or related field. | Required | 4 | Years | | Advanced level of proficiency in Power BI including Power Query and DAX Excel (advanced) and data visualization best practices. | Required | 5 | Years | | Some data modeling and data manipulation skills to maintain data sets from multiple heterogenous sources | Required | 5 | Years | | High familiarity with Azure cost management Apptio and cloud billing structures. | Required | 5 | Years | | Understanding of server migration strategies and workload cost modeling. | Required | 5 | Years | | Ability to translate technical data into insights for technical teams and managers | Required | 5 | Years | |
| Recruiter Details: | Kris : Lokesh : Eight three two - Nine nine zero -Two four two six Sameer : Seven one nine two three nine Five five five five |
About US:
GSK Solutions Inc. is a premier information technology services company dedicated to delivering exceptional consulting solutions and staff augmentation to our valued clients. With an unwavering commitment to quality timeliness and budgetary considerations we consistently strive to exceed client expectations building a strong reputation through our reliable execution. Our expertise spans commercial and custom product development covering information security software development consulting and IT audits. We excel in managing critical time-sensitive projects for Fortune 500 clients nationwide ensuring their success is always at the forefront of our mission.
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