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Data Analyst
CREXi Los Angeles, CA
$93k-122k (estimate)
Full Time | Retail 2 Months Ago
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CREXi is Hiring a Data Analyst Near Los Angeles, CA

About CrexiCrexi is reimagining commercial real estate, building industry-leading software for professionals to more effectively market, analyze, and trade commercial property. With a suite of due diligence tools, transaction services, deal pipeline support, and a dynamic listing marketplace, Crexi accelerates deal efficiency and has empowered millions of monthly users to close more than $615 billion in deals and market over $7 trillion in property value.
About the Role:Crexi is looking for a Data Analyst to drive a deeper understanding of our users, product, and business. This role owns and leads analytical projects using various data sources and influence business outcomes by recommending cross-functional solutions. As a Data Analyst, you will be part of a broader operational team that will play a key role by: defining KPIs, analyzing growth strategies, owning the creation of dashboards that will highlight actionable insights, and serving as an expert on Crexi’s data.
What You’ll Do
  • Work cross-functionally with all departments including Marketing, Product, Engineering, Sales, Operations, and Finance
  • Partner closely with the Acquisition team to analyze and optimize marketing campaigns based on actionable data insights
  • Analyze and interpret data from digital marketing channels (PPC, SEO, social media, email marketing, etc.)
  • Work closely with Product to gain a deep understanding of users, engagement, conversion, and retention through multivariate testing and exploratory analysis
  • Own traffic reporting, attribution methodology, and acquisition forecasting
  • Maintain unit economic reporting for user acquisition (CPA, LTV, ROAS)
  • Generates comprehensive reports and dashboards to communicate data insights to both technical and non-technical stakeholders
  • Interprets data results and provides actionable recommendations that will drive value for the company
  • Stay up to date on tooling and be willing to self-direct learning and development of new methodologies
  • Documents data analysis processes, methodologies, and findings for future reference and knowledge sharing across the Company
  • Contributes to data governance practices, including data quality, data cataloging, and metadata management
  • Performs other duties as assigned
Who You Are
  • 4 years experience in an analytical role, with marketing analytics experience
  • Experience with marketing attribution (e.g.Rockerbox)
  • In-depth knowledge of product analytics (e.g., Mixpanel, Amplitude)
  • Strong SQL skills
  • Strong know-how of Excel, PowerPoint, or similar
  • Deep understanding and expertise of a BI tool such as Tableau, Looker, Sigma
  • Experience with cloud data warehouses (Snowflake, Databricks)
  • Ability to calculate marketing and unit economic metrics (CPA, LTV, ROAS)
  • Prior programming experience using tools such as Python, R, Matlab, SPSS or SAS
  • Background in statistical modeling, data science, and predictive analytics experience
  • CRM/Lifecycle Marketing experience (Salesforce, Iterable)
  • Experience with A/B testing and other optimization methods
  • Knowledge of SEO best practices and tools
Pluses:
  • Prior experience with programming using tools such as Python, R, Matlab, SPSS or SAS
  • Prior statistical modeling, data science, and predictive analytics experience
  • Prior CRM/Lifecycle Marketing experience (Salesforce, Iterable)
  • Experience with A/B testing and other optimization methods
  • Knowledge of SEO best practices and tools
Why Crexi:
  • Rapidly growing startup with a dynamic work environment
  • Flexible team structure with the ability to progress in career
  • Health, Dental, and Vision insurance
  • Collaborative culture and numerous team activities
The anticipated salary range for candidates who will work in our Playa Vista, California location is $102,000 to $130,000. The final salary offered to a successful candidate will depend on several factors, which may include, but are not limited to, the type and length of experience applicable to the role and within the industry, education, geographic location, etc. Commercial Real Estate Exchange, Inc (“Crexi”) is a multi-state employer, and this salary range may not reflect positions that work in other states.
Crexi is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Crexi will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Retail

SALARY

$93k-122k (estimate)

POST DATE

07/12/2024

EXPIRATION DATE

08/29/2024

WEBSITE

crexi.com

HEADQUARTERS

MARINA DEL REY, CA

SIZE

100 - 200

FOUNDED

2015

TYPE

Private

CEO

JAIME TRIMBLE

REVENUE

$10M - $50M

INDUSTRY

Retail

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If you are interested in becoming a Data Analyst, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Analyst for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

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Many data analysts are required to create presentations of their findings to share with stakeholders and other key members of an organization.

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Gathered requirements, analyze data and create functional/technical specifications to functionality required by new business rules, regulations or standards change.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Analyst jobs

Data analysts typically work with existing data to solve defined business problems.

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Data analysts rely on various tools to collect and make sense of their data.

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Banks and financial firms need data analysts for financial reporting and forecasting.

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Data analysts often work directly with more senior data team members like data scientists or data engineers.

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Predictive analysis refers to a data analyst's ability to use data, machine learning and statistical algorithms to predict the likelihood of future outcomes based on previous historical data.

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Step 3: View the best colleges and universities for Data Analyst.

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