Data Scientist/Data Analyst

2 weeks ago


Orlando, United States Tentek, Inc. Full time

Data Scientist/Analyst

Client location: Orlando, FL

Work location: Hybrid work schedule (2 -3 days/week onsite). Work locations can be Seattle, WA, Orlando, FL, Burbank, CA or Anaheim, CA

Duration of Assignment: 18+ months

JOB DESCRIPTION:

We are looking for a passionate certified data analyst. The successful candidate will turn data into information, information into insight and insight into business decisions. The data analyst is responsible for overseeing our data systems and reporting frameworks, guaranteeing the integrity and precision of data. Data analysts are tasked with enhancing analytical and reporting functions, as well as supervising performance and quality assurance processes to pinpoint areas for enhancement.


Roles and Responsibilities:

Driving roadmap initiatives around the Project Management functions in Clarity PPM.

Conducting project assessments to determine compliance with internal project management and resource management standards.

Be able to read, update and develop data dashboards, charts, and data sets in Clarity to support decision-making across departments.

Detect, examine, and decode trends or patterns within intricate datasets to scrutinize data and produce actionable insights.

Assist in the implementation and deployment of Clarity PPM enhancements and provide ongoing training and support.

Providing support and training to new and existing tool users, both individually and in groups.

Creating training materials and conducting user training.

Suggesting solutions, recommendations and enhancements based on customer input and observations.

Tracking progress and notifying management of issues that require escalation and assuming responsibility for resolving or coordinating the resolution of resource capacity issues and project data quality concerns.

Meeting with analysts, customers, and partners to showcase value and drive adoption of the resource capacity planning processes and the Clarity PPM tool.

Locate and define new process improvement opportunities.

Evolve our data collection capabilities, analytics and reporting process as the business evolves and grows by optimizing strategies, implementing databases, and managing security, data sources and metadata.

Commissioning and decommissioning data sets as needed, while maintaining, cleaning, and organizing data sets as needed.

Keeping current with industry standards, and implementing updates as needed or required.

Leadership skills and the ability to connect and communicate across multiple departments.

Adept at report writing and presenting findings.

Ability to work under pressure and meet tight deadlines.

Be able to read and update project and program level resource forecasts.

Identify recurring process issues and work with managers to find solutions and initiate improvements to mitigate future recurrence.


Skills and Qualifications:

5+ years in a Data Analyst and/or Data Scientist capacity.

5 years of experience with Clarity PPM reporting, developing data dashboards, charts and datasets in Clarity.

Strong knowledge of and experience with reporting packages (Business Objects, Tableau, Power BI, etc.), databases (SQL), programming (XML, JavaScript, etc.).

Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SAS, R, SPSS, etc.)

High understanding of PPM disciplines has worked in a team and covered strategic projects.

Experience with Dashboard customization, configuration, user interface personalization and infrastructure management will be helpful.

Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail, accuracy, and actionable insights.

Excellent communicator, adjusting communication styles based on your audience.

Quick learner, adaptable and can thrive in new environments.

Proactive, confident, and engaging; especially when it comes to large stakeholder groups.

Capable of critically evaluating data to derive meaningful, actionable insights.

Demonstrate superior communication and presentation capabilities, adept at simplifying complex data insights for audiences without a technical background.


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