Search for Data Analyst roles in New Orleans, emphasizing full-time positions for those with 1-3 years of experience, focusing on data analytics and BI tools, offering remote options.

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Data Analyst

New Orleans, LA

1-3 years

Data Analytics

Remote

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

Sure. Here's the analysis:

Job Analysis:

The Analyst Data Analytics role at Lensa, in partnership with Anywhere Real Estate, is fundamentally about driving data-driven decision-making through effective reporting, data management, and analytical insight. The key responsibilities include maintaining a self-service Business Intelligence (BI) platform, developing data pipelines, and ensuring data quality across multiple sources. The emphasis on building and modifying reports and dashboards indicates that the role not only requires technical proficiency in SQL, Excel, and possibly Python but also a strong understanding of user needs to deliver actionable insights. As the candidate navigates the complexities of data integration and quality validation, they will face challenges such as managing diverse stakeholder requirements and troubleshooting data-related issues, which calls for strong analytical and communication skills. Success in this position involves not just technical execution but also a proactive approach to identifying efficiencies and improvements, leading to better-informed business strategies within the broader context of the real estate industry.

Company Analysis:

Lensa operates in a rapidly evolving tech-based recruiting landscape, leveraging machine learning to revolutionize traditional job searches. This innovation-focused environment places a premium on adaptability and the ability to collaborate across functions, mirroring the dynamic nature of Anywhere Real Estate, which is not only a leader in the real estate sector but also deeply invested in integrating technology into its operations. The company's mission to empower moves—both for customers and employees—suggests a culture that values growth, innovation, and cross-company collaboration. This cultural backdrop means that the Analyst Data Analytics role will be situated in a fast-paced, team-oriented setting, where collaboration and creativity in problem-solving will be essential. Furthermore, the focus on strategic objectives such as enhancing user-friendly solutions implies that this role is not just about technical prowess but also about contributing to the long-term vision of the company as they continue to disrupt the real estate market and empower professionals at every career stage.

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 was the challenge, and how did you resolve it?
Describe a situation where you had to communicate complex technical information to a non-technical stakeholder. How did you ensure they understood?
Can you provide an example of how you have used SQL to create a report that informed business decisions?
What steps would you take to automate a data pipeline that requires semi-manual transformations?
How would you approach building a new dashboard for stakeholders who have varying levels of technical expertise?
Imagine you are tasked with ensuring data integrity across multiple sources. What strategies would you employ to identify and resolve discrepancies?
If confronted with an ambiguous data requirement from a stakeholder, how would you go about clarifying their needs before proceeding?
Why are you interested in working at Lensa, particularly in this Analyst Data Analytics role?
How do your values align with Anywhere Real Estate's mission to empower customers and facilitate their next move?
What do you believe are the biggest challenges currently facing the real estate industry in terms of data analytics?
What experience do you have with BI tools like ThoughtSpot or Power BI, and how would you leverage them in this role?
If hired, what would your primary focus be during your first 30 days in this position?
How comfortable are you with cloud platforms such as AWS, Azure, or GCP, and how have you utilized them in your previous work?
Can you discuss a time you identified an efficiency improvement in a data process? What was the outcome?

Job Details

Overview Company

Data Analyst

Lensa

16 days ago

Highlight

RemoteFull-time1-3 yearsEntry

Summary

Anywhere Real Estate is seeking an Analyst Data Analytics - US Based Remote to join their team in New Orleans, LA. 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.

New Orleans, LA