Data Analyst- NOT REMOTE

MSR-FSR•Phoenix, AZ

2d•Onsite

About The Position

MSR-FSR is looking for a Data Analyst to join their team. The ideal candidate will have experience working in a fast-paced, high-volume documentation environment. This role will involve structuring information and developing integrated reporting. The position requires a self-motivated and self-efficient individual with a high level of proficiency in Excel (Data Transfer, Formulas, VBA, Visuals), Access, PowerPoint, and Power BI. Experience working with large datasets, creating and structuring data, supporting business processes for data collection, and reporting is essential. Construction or semiconductor construction knowledge is preferred but not required. This is an on-site position in Phoenix, AZ, and visa sponsorship is not available.

Requirements

Minimum of two (2) years related-work experience.
Strong communication skills – written and verbal.
Good analytical and planning skills.
Ability to learn quickly and work under pressure in a fast-paced environment.
Proficient with Microsoft Office Suite of Software with strong knowledge of Access, Excel and Power BI.
General understanding of project scheduling software Primavera P6.
Self-starter; creates solutions/alternatives; anticipates; acts on facts.
Deals with conflict successfully.
Must have good attention to details.
Excellent organizational and time management skills.
Good working ethics and ability to treat documents with confidentiality.
Ability to work effectively within a team setting and to provide leadership when required to do so.
Customer Focused - dedicated to meeting the expectations and requirements of all customers.

Nice To Haves

Construction knowledge/ semiconductor construction knowledge is preferred but not required.

Responsibilities

Development of predictive models to characterize cost, schedule, and resource variables in the construction environment in Excel.
Development of indicators to show construction project status and forecasts.
Connect to other data sources to collect information for data mining and analysis.
Integrate data sources including cost, procurement, schedule, resources to enable data analytics to assess project risk, status, and trends.
Develop tools to enable users to extract and analyze project information.
Complete administrative tasks to support the team.