Data Analyst

1 week ago

Smithfield, United States reacHIRE Full time
Overview

Making a decision to return to work can be exciting and scary all at the same time. We get it 100% - many of us at reacHIRE are returners, too And, we believe meaningful relationships formed along the way back to work should be built on communication and trust. Which is why our team of Program Managers are here to listen to your unique story and help you take the best next steps toward your next opportunity. We are excited to partner with Fidelity Investments for a 6-month return-to-work program starting in October 2024.

If you are a professional returning to work after a 2+ year career break or worked in part time or independent contractor roles, this could be the perfect opportunity reacHIRE is invested in helping professionals return with confidence; providing the resources and support needed via Program Managers who will help guide and navigate the entire process alongside you.

We know the confidence gap and imposter syndrome can get in the way of meeting amazing Returners, so please don't hesitate to apply - we'd love to hear from you.

*Please note that this is a hybrid role and we are unable to consider candidates who would need to relocate for the program.

Responsibilities

Summary:

You will provide analysis for small and clearly defined work efforts and interpret and translate data requirements into business and data solutions. You will contribute to the quality and progress of the data model and artifacts created by analysts and peers.

What You'll Contribute Day-to-Day:
  • Work within cross-functional teams and subject matter experts to utilize appropriate enterprise-level data sources analyze data requirements, and adhere to enterprise standards for delivering data solutions.
  • Integrate data into the enterprise data platform to maximize the value of our data assets.
  • Be aware of conceptual modeling tools and techniques to capture clear definitions of data elements to inform a well designed data model.
  • You are able to define user stories and tasks and can validate the impact of changes to datasets and data models.
  • With guidance, you can break up complex work into digestible work elements. You have a foundational knowledge of agile methodologies and practices.
  • Ensure all technical database decisions result in coherent system designs which use the most effective methods and tools.
  • Have foundational understanding of the data management, data governance, data taxonomy, and data models and incorporate this into your work.
  • Translate technical aspects of data modeling into language that non-technical users can understand.
  • With guidance, you gather, structure, and analyze data to provide recommendations to your team.
  • Understand enterprise data lakes and Cloud data platforms.
  • Perform analysis to assess quality and meaning of data.
  • Use statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for diagnosis and prediction.
  • Complete data validations across systems.
Qualifications

You'll Be a Great Fit If You Have:
  • Business Data Analysis: Collects, identifies, analyzes, and interprets business data by using various kinds of techniques to meet business needs and requirements.
  • Data Analysis: Quantifies information and sorts it for analysis. Analyzes data which may include investigating and highlighting trends, presenting, reporting on results, and providing conclusions and recommendations. Uses the appropriate tools (e.g., Excel) to conduct the analysis.
  • Data Cleansing: Establishes templates for data cleaning, removes duplicates or corrupted data, formats data, and manages naming conventions, typos, inconsistencies, missing data, etc.
  • Data Engineering: Develops and maintains the architecture that helps analyze and process data in the way the organization needs it.
  • Data Gathering and Reporting: Uses varied tools, techniques, and processes for gathering and reporting data. Knows which data to collect and what would be useful to report on.
  • Data Governance: Ensures high data quality exists throughout the complete data lifecycle. The key focus areas include availability, usability, consistency, data integrity, and data security.
  • Data Management: Manages data requirements and how it is acquired. This includes source data, data entry, queries, quality control and correction, and the concept of a locked database.
  • Data Modeling: Documents a complex software system design as an easily understood diagram, using text and symbols to represent the way data needs to flow. Uses the diagram to ensure efficient use of data, as a blueprint for the construction of new software or for re-engineering a legacy application.
  • Data Visualization: Identifies, locates, manipulates, formats, and presents data graphically to communicate relationships and insights. Helps the audience "see" the patterns or trends in the data with more clarity. Uses software (e.g., Tableau, Excel, PowerPoint, HighCharts, Flare, and others).
  • Data Wrangling: Data wrangling, sometimes referred to as data munging, is the process of transforming and mapping data from one "raw" data form into another format with the intent of making it more appropriate and valuable for a variety of downstream purposes such as analytics.
  • IT Acumen: Keeps abreast with trends, developments, and technologies within the field of Information Technology, locally and internationally. Understands the impact of these on the organization. Incorporates relevant trends to ensure organization's relevancy and competitiveness.
  • Pattern Analysis: Manages big data to ensure the quality of data is good and accessible for big data analytics applications. Analyzes big data sets computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions.
  • Principles of Information Technology: Understands and implements the principles of information technology.
  • Python: Uses Python to develop and maintain related applications and systems to meet business goals.
  • Requirements Analysis: Evaluates systems requirements for software. Uses information gathered to inform the design of the software.
  • Technology Quotient: Adapts, manages, and integrates technology based on the need of the organization or the project. Takes full advantage of available technology and the opportunities they present.
It's An Added Bonus If You Have:
  • Accountability: Takes responsibility for one's actions regardless of outcomes. Feels accountable for the quality and timeliness of an outcome or task.
  • Advising: Offers recommendations on the best course of action to take and advises to support decision making that leads to delivery of outcomes.
  • Analytical Reasoning: Uses logic to figure out problems by breaking down the information into manageable components, in a step-by-step approach. Examines data to understand issues, assesses consequences of different courses of action, and proposes solutions.
  • Data Savvy: Identifies key information and data as well as relationships between different pieces of information. Uses business-related data presented in graphs, tables, and reports to generate solutions to a variety of problems, using statistical or other spreadsheeting skills.
  • Technical Credibility: Demonstrates depth of knowledge and skill in a specific technical, functional, or professional area. Expertise in a particular process, function, technology, machine, material, or type of equipment. Leverages this knowledge to solve specific problems. Acquires and applies new skills to remain up to date in their area of expertise.
About reacHIRE

reacHIRE is changing the trajectory for individuals in the workplace by partnering with forward-thinking companies. reacHIRE believes a career break shouldn't be a career breaker. At the end of the program, you may be eligible for full-time or extended contracting work, but it is not guaranteed. Either way, you'll become part of the reacHIRE team, join with a cohort of fellow Returners, and we will provide 360-degree support via Aurora, along with a dedicated Program Manager to ensure your success every step of your journey back to work

Our return-to-work program participants come from all walks of life, and so do we. At reacHIRE, the sum of our individual differences, life experiences, and self-expression is what makes us great. Be you and reach higher

Please note:
  • reacHIRE will reasonably accommodate applicants with disabilities who need adjustments in order to complete the application or interview process. For assistance with your application please contact: Sarah White at swhite@reachire.com.
  • reacHIRE is unable to sponsor program participants for the duration of our return-to-work programs.


What's great about working at Fidelity Investments?

At Fidelity, we are passionate about making our financial expertise broadly accessible and effective in helping people live the lives they want We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associate for their unique perspectives and experiences. For information about working at Fidelity, visit FidelityCareers.com. Fidelity Investments is an equal opportunity employer.

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