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Relocation Opportunity Data Analyst Jobs in Ohio

Core Specialty

Actuarial Data Analyst

Cincinnati, OH · Hybrid

$70K - $75K/yr

- The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is ... opportunities for professional development and advancement. We offer medical, dental, vision, and ...

Express

Customer Data Analyst

Columbus, OH · On-site

... Customer Data Analyst plays a critical role in understanding and improving the health of our ... Monitor customer file health over time, identifying risks and opportunities tied to product ...

Express

Customer Data Analyst

Columbus, OH

... Customer Data Analyst plays a critical role in understanding and improving the health of our ... Monitor customer file health over time, identifying risks and opportunities tied to product ...

Express

Customer Data Analyst

Columbus, OH · On-site

... and opportunities tied to product, channel, and marketing performance Marketing & Product ... in Analytics, Data Science, or a related field; MBA or advanced degree a plus 3-5+ years of ...

PNC Bank

Data Analyst - AMG

Strongsville, OH · On-site

$52K - $127K/yr

We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Analyst ...

LHH US

Sr. Data Analyst

Hilliard, OH

$85K - $110K/yr

This is an excellent opportunity for a data professional who enjoys solving complex problems ... Analyze distribution, inventory, logistics, fulfillment, transportation, and customer service data ...

LHH US

Senior Data Analyst

Columbus, OH

$90K - $108K/yr

LHH is partnering with a growing organization in the Columbus, OH area to identify a Senior Data Analyst for a direct hire opportunity. This role is ideal for a highly analytical professional who ...

Cintas

Data Analyst I

Mason, OH · On-site

Requisition Number: 230750 Cintas is seeking a Data Analyst I. Responsibilities include updating ... Cintas Corporation is proud to be an Equal Opportunity Employer. Qualified applicants will receive ...

LHH US

Sr. Data Analyst

Hilliard, OH

$85K - $110K/yr

This is an excellent opportunity for a data professional who enjoys solving complex problems ... Analyze distribution, inventory, logistics, fulfillment, transportation, and customer service data ...

LHH US

Senior Data Analyst

Columbus, OH

$90K - $108K/yr

LHH is partnering with a growing organization in the Columbus, OH area to identify a Senior Data Analyst for a direct hire opportunity. This role is ideal for a highly analytical professional who ...

Cintas

Data Analyst I

Mason, OH · On-site

Requisition Number: 230750 Cintas is seeking a Data Analyst I. Responsibilities include updating ... Cintas Corporation is proud to be an Equal Opportunity Employer. Qualified applicants will receive ...

BC Forward

Data Analyst Intermediate

Columbus, OH · On-site

$34/hr

Data Analyst Intermediate Location: Columbus, OH 43240 - 100% on-site Duration: Contract - 11 ... Competitive compensation and benefits Opportunities for growth with global clients A supportive ...

FirstEnergy

Senior Data Analyst

Akron, OH

$111K - $157K/yr

About the Opportunity This is an open position with FirstEnergy Service Co., a subsidiary of ... This position will analyze complex business needs related to C&DS project data and answer critical ...

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Relocation Opportunity Data Analyst information

What is a relocation opportunity data analyst?

A Relocation Opportunity Data Analyst is a professional who gathers, analyzes, and interprets data related to employee or organizational relocations. Their role involves assessing relocation trends, costs, and opportunities to help companies make informed decisions about moving employees or offices. They may also evaluate geographic data, compensation packages, and market conditions to optimize relocation strategies. These analysts typically work with HR, real estate, and finance teams to support workforce mobility initiatives and ensure smooth transitions during relocations.

What is the difference between Relocation Opportunity Data Analyst vs Data Analyst?

AspectRelocation Opportunity Data AnalystData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; often some experience in data analysisBachelor's or higher in Data Science, Statistics, or related field; entry to mid-level experience
Work EnvironmentCorporate offices, remote options, or client sites; often involves travel for relocation projectsOffice-based, remote, or hybrid settings; focused on data processing and reporting
Employer & Industry UsageUsed by companies offering relocation services, HR firms, and multinational corporationsWidely used across industries like finance, healthcare, marketing, and technology

The main difference is that a Relocation Opportunity Data Analyst specializes in analyzing data related to employee relocations and mobility programs, often involving travel and specific industry knowledge. In contrast, a Data Analyst has a broader focus on analyzing various types of data across multiple sectors. Both roles require similar credentials but differ in their focus areas and work environments.

What are some common challenges data analysts face when relocating for a new position, and how can they prepare for a smooth transition?

Relocating for a Data Analyst role often involves adapting to a new company culture, understanding region-specific data privacy regulations, and building relationships with a new team. Job seekers should research the local data landscape, familiarize themselves with relevant regulations, and proactively reach out to future colleagues before moving. Additionally, leveraging company-offered relocation support and participating in onboarding activities can help ease the transition and ensure a successful start.

What are the key skills and qualifications needed to thrive as a relocation opportunity data analyst, and why are they important?

To thrive as a Relocation Opportunity Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a background in statistics or a related field, often supported by a bachelor’s degree. Familiarity with data analysis tools like Excel, SQL, and visualization software such as Tableau or Power BI is typically required, along with knowledge of geographic information systems (GIS). Attention to detail, problem-solving abilities, and effective communication are essential soft skills that help in translating complex data into actionable business insights. These skills ensure accurate assessments of relocation opportunities, supporting informed decision-making and successful organizational transitions.
What are popular job titles related to Relocation Opportunity Data Analyst jobs in Ohio? For Relocation Opportunity Data Analyst jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Relocation Opportunity Data Analyst jobs in Ohio look for? The top searched job categories for Relocation Opportunity Data Analyst jobs in Ohio are:
What cities in Ohio are hiring for Relocation Opportunity Data Analyst jobs? Cities in Ohio with the most Relocation Opportunity Data Analyst job openings:
Relocation Opportunity Data Analyst jobs near you

Actuarial Data Analyst

Core Specialty

Cincinnati, OH • Hybrid

$70K - $75K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 11 days ago

Job description

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The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is responsible for supporting all lines of business during an exciting time of growth

Key Accountabilities/Deliverables:

  • Execute analysis on data to identify and correct data issues. Extracting data from various sources and transforming that data to perform analysis and create actionable visualizations.

  • Live our Values: Embrace a "bring-it-on" attitude to attack issues and questions within the dept and across the organization.

  • Standardize ad hoc processes and drive continuous improvement for automating and optimizing performance of ongoing processes, including development of data processing pipelines.

  • Help Others Succeed: Act as a key contributor in resolving complex or expediated requests, where end-to-end ownership and analytical skills are needed to provide a solution. As mentioned, we all work and grow together! The more successful one member is, the more successful we all are.

  • Listen to, understand, and break down questions into manageable tasks.

  • Use a variety of applications and technologies to answer simple and complex questions.

  • Provide support for other Analytics areas, such as FP&A, Actuarial, Accounting, Claims, Programs and others as needed


Technical Knowledge and Understanding:

  • Intellectual curiosity: Seeking understanding of the answers to, whys of data. Uncovering patterns in data and visuals that some might take for granted and researching. Looking for trends and outliers that may be actionable.

  • Openness to grow and change: the Company is in its infancy regarding our data environment and our analytics platform. Will need to be agile, willing to lean new techniques and tools with us as we grow.

  • Candor: Openness to providing and receiving constructive feedback to facilitate both individual development as well as elevating the overall capabilities of the Company

  • Communication skills: Willingness to ask questions to gain understanding; collaborate effectively both with direct colleagues as well as those in other functional areas; ability to influence and gain buy-in from key stakeholders.


Experience:

  • Bachelor's degree in an analytical, or related, field: Management Information Systems, Mathematics, Statistics, Computer Science, Actuarial Science and the like.

  • 1-3 years of experience in a professional environment working with data, analytics.

  • Functional knowledge, aptitude and understanding of basic data/analytics principles: One to many relationships, many to many relationships, reuse and linkage, data quality, validation data modeling and more.

  • Experience with/or working knowledge of Lakehouse, Warehouse, Semantic models, Datamarts, SQL Databases and other relational data containers.

  • Experience and/or aptitude in a Microsoft Fabric environment and the tool set included: Python, PySpark, SQL, Dataflow gen 2, Pipelines, Apache Spark jobs, One Lake, Power BI, Data agents, prompt engineering.

  • Ability to convert raw data into usable and visualized representations that convey understanding and/or enables accurate execution of needed action.


The expected pay range for the role is $70,000 - $75,000. The specific offer will depend on an applicant's skills and experiences. The disclosed pay range estimate may also be adjusted for the applicable geographic differential for the location in which the position is filled.
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over work authorization sponsorship now or in the future for this position.
#LI-Hybrid

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At Core Specialty, you will receive a competitive salary and opportunities for professional development and advancement. We offer medical, dental, vision, and life insurances; short and long-term disability; a Company-match of 100% of a 6% contribution 401(k) plan; an Employee Assistance Plan; Health Savings Account, Flexible Spending Account, Health Reimbursement Account, and a wellness program

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