Search for data analyst roles that are remote and require a bachelor’s degree in Data Analytics. I'm looking for positions with 1-3 years of experience in data analytics or BI development, preferably using tools like Power BI or Informatica, and a salary expectation of at least $75,000.

Okay, I've searched for data analyst roles that are remote, requiring a bachelor's degree in Data Analytics, with 1-3 years of experience in data analytics or BI development, preferably using tools like Power BI or Informatica, and a salary expectation of at least $75,000. I have found 75 positions for you.

Data Analyst

Remote

Bachelor

1-3 years Experience

$75000+

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

Sure. Here's the analysis:

Job Analysis:

The Analyst Data Analytics position at Lensa focuses on providing a blend of data analysis and platform development aimed at enhancing decision-making through actionable insights. The primary responsibility is to maintain and enhance the self-service BI platform, which requires not only technical proficiency in tools like SQL, Python, and data cataloging services like Informatica CDGC but also a strong analytical mindset to identify and resolve data issues. This role will likely challenge candidates to efficiently manage and automate data processes and ensure data quality, which is crucial for supporting strategic decision-making. Success in this role will be characterized by the ability to create user-friendly reports, collaboration with stakeholders, and continuous improvement of data processes through innovative solutions. Candidates will need to be proactive and adaptable to the fast-paced nature of the environment, demonstrating strong communication skills and a commitment to learning and applying new technologies, reflecting the organization's broader goals of innovation and excellence in data-driven decision-making.

Company Analysis:

Lensa operates in a transformative and rapidly evolving job search industry, focusing on leveraging technology to streamline the hiring process through machine learning and data-driven insights. As a market leader, Lensa's innovative approach to matching candidates with opportunities places a premium on roles like the Analyst Data Analytics, significantly contributing to their operational effectiveness and customer satisfaction. The company culture emphasizes empowerment, innovation, and a people-first approach, evident from its accolades as an employer of choice. This supportive and collaborative environment means that the Analyst role will likely require building strong relationships across departments, addressing cross-functional problems, and contributing to a culture of continuous learning. The organization appears to strategize on scaling operations, enhancing their BI capabilities, and improving user experiences, making this position critical for achieving their long-term ambitions. Given the fast-paced and innovative nature of both Lensa and Anywhere Real Estate, candidates must not only meet technical qualifications but align with the company’s mission to set new standards in the industry.

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 deal with a significant data quality issue. What steps did you take to resolve it?
Describe your experience with building SQL queries. Can you provide an example of a query you wrote that provided critical insights?
Can you share an instance where you automated a data pipeline or improved an existing process? What was the impact?
How have you collaborated with stakeholders in the past to understand their requirements and deliver actionable reports or dashboards?
How would you approach creating a new dashboard for a business unit with limited guidance? What questions would you ask?
Describe your experience with data transformation tools and your approach to ensuring data accuracy.
Imagine you are tasked with processing a batch of data files that require semi-manual transformations. How would you identify efficiencies in this process?
Consider a scenario where a critical report fails to run due to a data source issue. How would you investigate and resolve this?
What interests you about working at Lensa, and how do you see yourself contributing to the company's mission?
What aspects of the Anywhere Real Estate business model do you find most appealing, and how do you think your skills can help support its goals?
What unique challenges do you think an Analyst in the data analytics field will face, especially in a tech-driven environment like Lensa?
Can you explain a recent trend in data analytics that you find exciting? How would you apply this in your role?
What questions do you have about the company's strategic direction or specific challenges the data team is currently facing?
How do you stay updated with new tools and technologies in data analytics, and how do you plan to leverage this in your role?

Job Details

Overview Company

Data Analyst

Lensa

2 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

What if we could take the search out of job search? This is the question Lensa has been answering since launching in San Francisco, California in August 2016. Using machine learning, we instantly provide companies with candidates and match professionals with positions that fit their skills, goals, personalities, and needs. How does it work? Lensa applies complex algorithms that identify the skills needed to succeed on a given job. Candidates can play computer games that assess their work style, thus gaining insight into their strengths while unlocking career opportunities. The result: job search that puts people first while reducing the time and cost of talent acquisition.

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.

Louisville, KY