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Senior Data Analyst

Allegis Global Solutions · Troy, MI, United States, US · about 2 months ago

Quantum Work Advisory, a dynamic and innovative subsidiary of Allegis Group, specializes in workforce technology and workforce transformation advisory services. Supported by Allegis Group's 40-year legacy and $15 billion in revenues, we are committed to transforming workforce strategies and enhancing organizational performance. Learn more at quantumwork.com.

OUR COMMITMENT

We are dedicated to helping organizations design and execute workforce transformation. By leveraging the power of design thinking, AI, and automation, we create seamless, enjoyable digital experiences that make technology work for you – not the other way around. Our innovative, people-first design methodology ensures that we deliver transformational services tailored to meet your unique workforce needs.

OUR APPROACH | DESIGN THINKING

Our experienced consultants utilize journey mapping and “how might we?” frameworks to scientifically validate our strategic choices. By fostering user empathy, we enhance workforce collaboration and the execution of your digital transformation strategy.

Job Description

The Sr. Data Analyst is responsible for supporting the QuantumWork Advisory in implementation projects, defining data strategies and governance framework. Lead complex data migration and transformation efforts and ensure high quality , scalable and sustainable data solutions. The role is also responsible for gathering incumbent data, analyzing gaps, verifying information, and handling administrative tasks. As a project role this person will need to work independently, and face to our clients’ senior stakeholders on matters of data conversion & management on projects. This role will be responsible for discovering gaps in data to prepare the information for steady state. This Analyst would work on implementations to assist a workflow to prepare data including but not limited to organizational development data and company data. This Role would also upload accurate records of data into the VMS tools. A good understanding of logical data and analysis is required to analyze large enterprise datasets and understand how that data interacts with VMS technologies. This person will also be responsible for some limited people management responsibilities: Training, mentoring, and performance management with some direct reports. The Sr. Data Analyst will also be required to help oversee junior staff’s project assignments to assist with resolving project issues and quality control.

POSITION OVERVIEW

Attention to detail

Organizational skills, ability to keep multiple projects on schedule simultaneously

Excellent business communication skills, both verbal and written to internal and external customers

Ability to work unsupervised in a fast-paced environment

Able to identify gaps and\or errors within multiple lines of medium to large data sets

Ability to multitask multiple projects at once and meet project deadlines

Client facing resource who can confidently present quality materials to Senior client stakeholders

Good understanding of data modelling & data management techniques

Define migration and transformation approaches

Define data governance and quality standards

Lead end to end execution of data activities including data extraction, cleansing, transformation and validation

Leads data mapping and templating

Leads migration and system uploads

Leads testing and reconciliation of data for accuracy and completeness

Verifies customer data by reviewing, correcting, and combining data from multiple systems

Ensure standards are applied to programs and exceptions are documented

Responsible for data quality and implementing processes which drive efficiency and support data governance

Work to maintain and evergreen complex data management workbooks and tools

Understanding of VMS technology and how data is used in these systems

Act as a people manager for junior data analysts

Train, mentor, lead, and perform quality control on junior team member’s work

Provide project management on client projects and manage work allocation.

Qualifications

8+ years of professional experience doing data analysis
Advanced MS Excel skills – a basic knowledge of formulas, pivot tables and MS Excel Functions
Moderate Power BI skills including building dashboards to show progress to client stakholders
Experience with data management, data modelling, analyzing information
Experience in an enterprise environment including, decision making, organizational skills, and be flexible and able to handle multiple tasks concurrently
Bachelor’s degree preferred

Experience in SAP Fieldglass, Beeline, or VNDLY

Additional Information

Location disclaimer: This position is open to North America locations outside of California, Colorado, New Jersey, New York, Washington and Maryland.

At AGS, we recognize our people are our strength. We are an equal opportunity (M/F/Disability/Veterans) and consider all applications without regard to race, gender, sexual orientation, gender identity, age, color, religion, national origin, veteran status, disability, genetic information or any other status protected by applicable law. We value our people, their varying perspectives and are committed to fostering an environment where they can bring their whole selves to work.

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email Accommodation@allegisglobalsolutions.com for accommodation options.

In accordance with the Immigration Reform and Control Act of 1986, employment is contingent upon verification of identity and authorization to work in the United States. All persons hired will be required to complete Form I-9 and provide acceptable documentation as required by law.

Headquarters

Troy, MI, United States

Work Location

on-site

Job Category

Data Science / AI / Machine Learning

Application Deadline

Not specified

Job Type

full-time

Experience Level

senior-level

Application Method

Apply via Website

Salary

Not specified

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