Search for Data Analyst roles in Seattle, with 1-3 years of experience, focusing on data analytics and BI platforms, preferably in a collaborative environment, and with proficiency in SQL.

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Data Analyst

Seattle, WA

1-3 years

SQL

Data Analytics

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

Sure. Here's the analysis:

Job Analysis:

The role of Analyst Data Analytics at Lensa, specifically for Anywhere Real Estate, is fundamentally aimed at harnessing data to drive impactful business decisions in a dynamic real estate environment. The key responsibilities include maintaining and optimizing a self-service BI platform, processing data files for transformation and validation, and collaborating with various stakeholders to provide actionable insights. Success in this role requires not merely technical proficiency in tools like SQL, Excel, and Power BI, but also the ability to understand the business context and the needs of end-users, thereby translating complex data into understandable business insights. Candidates will likely face challenges related to data quality and the continuous adaptation required to integrate new data sources and technologies. Strategic success within the first 6–12 months would involve achieving improved efficiency in data processing tasks and establishing trust and rapport with stakeholders through effective communication and problem-solving skills.

Company Analysis:

Lensa operates in a rapidly evolving space, serving as a premier career platform that couples technology with job searching, while Anywhere Real Estate is a significant player within the real estate sector, aiming to innovate how real estate transactions are conducted. The company positions itself as a leader, seeking strategic hires like the Data Analyst role to enhance data-driven decision-making processes. This suggests that the role will have a substantial impact, contributing towards enhancing operational efficiency and innovation within the organization. The culture at Anywhere emphasizes a people-first philosophy and is likely to be fast-paced and collaborative, which means candidates in this role need to be adaptable, innovative, and good communicators. The position likely interfaces with multiple teams, affording visibility to leadership while playing a pivotal role in data management and analytics. This position is crucial for supporting the company's objectives of facilitating seamless real estate transactions, and an ideal candidate will thus align their career aspirations with the company's mission of empowering movement in real estate.

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 work under tight deadlines to deliver a crucial data report. What challenges did you face, and how did you overcome them?
Can you describe a specific instance where you improved a data processing pipeline? What steps did you take?
Explain how you approach gathering requirements from stakeholders when developing a new report or dashboard?
Describe a complex data issue you encountered and how you resolved it through collaboration.
How familiar are you with SQL, and could you provide an example of how you've utilized it in past roles?
What data visualization tools have you used, and how did you leverage them for your data reporting tasks?
Explain the importance of data governance and how you would ensure data quality in your analytics work.
What steps would you take to design an automated data quality validation process?
Imagine you find discrepancies in the data reported by two different sources—what process would you follow to identify the root cause?
Why do you want to work at Anywhere Real Estate specifically, and how do your career goals align with our company culture?
How do you stay updated with the latest trends and technologies in data analytics?
What do you believe is the most critical skill for a data analyst in a fast-paced environment like ours?
What questions do you have about the data team and how this role contributes to our overall goals?
How do you handle feedback, especially when it involves significant changes to your data reports?

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 Seattle, WA. 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.

Seattle, WA