Search for Sr Revenue Data Analyst roles in Estero, FL, with a focus on revenue management analytics. I have 2+ years of experience and am looking for full-time positions that utilize advanced SQL and Tableau skills.

Okay, I've searched for Sr Revenue Data Analyst roles in Estero, FL, specifically in the revenue management analytics field. You have 2+ years of experience, and you're looking for full-time positions that require advanced SQL and Tableau skills. I have found 27 positions for you.

Sr Revenue Data Analyst

Estero, FL

2 years + Experience

Full Time

SQL

Tableau

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

Sure. Here's the analysis:

Job Analysis:

The primary purpose of the Senior Revenue Data Analyst at Lensa is to enhance the efficiency and effectiveness of the Revenue Management team through data-driven insights, aimed at improving revenue outcomes. This involves not only gathering and analyzing data but also interpreting it to inform strategic decisions that give Hertz a competitive edge. A substantial part of the role includes automating existing processes to free up analysts' time for more complex, revenue-generating tasks, which indicates a growing complexity in operational demands. Success in this role hinges on the ability to blend data science with practical execution, requiring the candidate to navigate ambiguity and communicate clear, actionable insights to various stakeholders, including higher management. Ultimately, the candidate will drive the automation of reporting and improve operational efficiency, contributing to revenue growth and strategic market positioning.

Company Analysis:

Lensa operates in the evolving space of career technology, utilizing machine learning to transform traditional job searches into a streamlined experience focused on individual needs and skills. As a growing player in the market, Lensa embodies a culture of innovation and value-centric service. Their collaborative approach is likely reflected in the working environment, which may foster creativity, teamwork, and a focus on outcomes that enhance user experiences. The Senior Revenue Data Analyst role is positioned within the critical Revenue Management function, directly impacting the company's strategic goals to optimize pricing and revenue strategies. With a broad international presence, the candidate can expect visibility within diverse markets, aligning their tactics with corporate goals. The culture appears to prioritize diversity and inclusivity, potentially influencing how analysts approach their work with varied perspectives. Overall, this role not only nurtures professional growth but also aligns strategically with Lensa's objectives to reinforce its leadership in the job-matching sector.

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 analyze a complex dataset and present your findings to a non-technical audience. How did you ensure they understood the insights?
Can you describe an instance when you implemented automation in a previous role? What was the impact on the team's productivity?
Describe a challenging project you worked on that required cross-functional collaboration. What obstacles did you encounter, and how did you overcome them?
How have you used data visualization tools like Tableau in your past experiences? Can you provide a specific example where it made a difference in your analysis?
What steps would you take to evaluate the effectiveness of a new revenue management strategy in a competitive market?
Given a situation where you notice a significant drop in forecast accuracy, how would you go about identifying and resolving the problem?
Imagine you are tasked with automating a reporting process for the first time. What factors would you consider in designing this automation?
How do you prioritize multiple projects with tight deadlines while ensuring data quality and accuracy?
Why are you interested in the Sr Revenue Data Analyst role at Lensa specifically?
How do you believe your experience aligns with our company's mission to revolutionize the job search experience?
What do you understand about Lensa's use of machine learning in the hiring process, and how do you think your role contributes to that?
If you could ask our leadership team one question regarding the company's future direction, what would it be?
What metrics would you suggest tracking to measure the success of revenue management strategies effectively?

Job Details

Overview Company

Senior Revenue Data Analyst

$80k/y

Lensa

2 days ago

Highlight

OnsiteFull-time2+ yearsSenior

Summary

The Hertz Corporation is seeking a Sr Revenue Data Analyst to join their team in Estero, FL. The role involves gathering, analyzing, and interpreting data to improve revenue outcomes and provide actionable insights.

About the Role

As a Sr Revenue Data Analyst, you will combine data science with day-to-day execution to solve key problems and provide solutions for current methods lacking critical data. You will work with analysts to identify opportunities, explore data, formulate questions, and deliver insights to business executives. Your responsibilities include recommending and monitoring test actions, evaluating forecast accuracy, automating post-mortem processes, and generating automated exception reporting to identify revenue opportunities.

About You

Required:

Bachelor’s degree or equivalent in Statistics, Marketing Analytics, Operations Research, Business Analytics, or Information Engineering.
2+ years previous experience in revenue management and/or pricing strategy area or a Master’s degree in the relevant subject matter.
Strong problem-solving/analytical skills.
Excellent technical skills, including advanced SQL, Tableau, and Excel skills.

Preferred:

Statistics and probability experience.
Data mining through Python and R.
Utilize Cloud resources such as S3, Athena, Lambda, Glue ETL, and Databricks.
Visualizing data via R, Python.

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.

Estero, FL