Search for Data Analyst roles that are remote, based in Virginia, requiring a Bachelor's degree in Data Analytics, and offering roles for candidates with 1-3 years of experience.

Okay, I've searched for remote Data Analyst roles based in Virginia requiring a Bachelor's degree in Data Analytics, suitable for candidates with 1-3 years of experience. I found 142 positions that match your criteria. Would you like to see the details?

Data Analyst

Virginia Beach, VA

Bachelor

1-3 years

Remote

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The primary purpose of the Data Analyst role is to enable data-driven decision-making by managing and enhancing the self-service business intelligence (BI) platform for Anywhere Real Estate. In doing this, the new hire will be tasked with building, modifying, and ensuring quality in reporting mechanisms and data pipelines, which are essential for effective business insights. The responsibilities reflect a strong emphasis on collaboration, as this individual will be interfacing with various stakeholders to understand their requirements, addressing data-related challenges, and designing user-friendly analytical solutions. Key challenges will include ensuring data quality and integrity amidst a growing volume and variety of data sources, as well as working with complex data architectures and tools. Success in this role will likely involve rapidly becoming proficient in using BI tools and developing effective automated solutions for data handling, ultimately leading to improved efficiency and insights for the organization.

Company Analysis:

Anywhere Real Estate operates in the dynamic real estate industry, positioning itself as a leader with a robust portfolio of recognizable brands. This company is at the forefront of innovation within its field, leveraging cutting-edge technology to transform traditional real estate processes. The culture emphasizes empowerment, innovation, and cross-company collaboration, which are likely to manifest in a supportive environment conducive to learning and career growth. The company’s commitment to a people-first culture suggests that employees are encouraged to share ideas and take initiative. The Data Analyst role fits within a modern, agile environment focused on analytics and technology, with the potential for significant visibility and influence on strategic decisions. This hire is not merely a backfill; rather, it represents a strategic move aimed at enhancing data capabilities to sustain the company’s competitive edge and facilitate its ambitious growth objectives.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to troubleshoot a data-related issue. What steps did you take to find a solution?
Can you describe a project where you automated a reporting process? What tools did you use and what was the impact?
Explain a scenario where you had to collaborate with stakeholders to align data insights with business needs. How did you approach the conversation?
What experience do you have with SQL, and can you provide an example of a complex query you developed?
How comfortable are you with using Python for data analysis, and can you describe how you've utilized it in a previous project?
What strategies would you implement to ensure data integrity in a data pipeline? Please provide specific tools or methodologies.
Imagine you're faced with a situation where the data from two sources does not match. How would you go about investigating the discrepancy?
If you were tasked with creating a dashboard in Power BI for a new product launch, what metrics would you prioritize and why?
Why are you interested in working at Anywhere Real Estate specifically, and how do you see your skills contributing to our mission?
How do you align your personal values with our company’s emphasis on innovation and empowerment?
What do you consider to be the biggest challenge for data analysts in the real estate industry today?
What skills or tools are you eager to learn more about during your time in this role?
How do you prioritize your workload when handling multiple data requests from different stakeholders?
How do you ensure that your work remains aligned with the strategic objectives of the company?
What questions do you have about our team's approach to collaboration and technology in our data initiatives?

Job Details

Overview Company

Data Analyst

Lensa

3 days ago

Highlight

RemoteFull-time1-3 yearsEntry

Summary

Anywhere Real Estate is seeking an Analyst Data Analytics - US Based Remote to join their team. The role involves working with data analytics and BI platform development to drive data-driven decisions.

About the Role

As an Analyst Data Analytics, you will assist in maintaining the self-service BI platform, build and modify reports, dashboards, SQL queries, and data pipelines. You will process data files, develop automated data pipelines, and create data quality validation solutions. Additionally, you will perform data cataloging using Informatica CDGC services and collaborate with stakeholders to gather requirements and deliver user-friendly solutions.

About You

Required:

Bachelor’s degree in Data Analytics, Information Systems, Computer Science, or a related field.
Proficiency in Excel, including functions and macros.
Ability to create and modify SQL queries.
Working knowledge of Python or other programming languages.
Strong analytical skills and attention to detail.

Preferred:

Experience with ThoughtSpot and/or Natural Language Generation software.
Basic understanding of data governance, data quality, metadata management, master data management, data analytics, BI reporting, and data science.
Experience with data catalog tools like Informatica CDGC, Collibra, or Alation.
Background in working with cloud platforms such as AWS, Azure, or GCP.
Familiarity with Agile methodology.

Lensa

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Lensa passed 10 million job seeker registrations in 2019, making the com- pany one of the premier career platforms.

With teams in multiple U.S. locations and a 60-strong crew of developers and data scientists at its R & D headquarters in Europe, Lensa is working every day to share its transformative career technology with the world.

Virginia Beach, VA