Data Analyst (SEO)
As a Data Analyst on our SEO (search engine optimization) team, you will leverage your deep experience in data analysis and data mining to drive significant organic search traffic and user engagement growth for the Apartments. com Network of rental brands including **************, *******************, ***********************, ****************, *******************, ***********, ***********, *********************, and ********************.
You’ll be joining a best-in-class team that has relentlessly high standards, is never satisfied with the status quo, and thrives in a fast-paced, dynamic environment. Our industry-leading SEO team is the driving force for our business and has exceeded our performance goals each year.
Our success is dependent on our ability optimize our ************** Network sites to beat the competition, and earn the most qualified traffic from search engines like Google and Bing. Google is taking an AI-first approach (artificial intelligence) company-wide, including their search algorithms, and we need to raise our bar to continue our levels of unprecedented growth and exceed our future SEO goals.
We are counting on you to bring a genuine curiosity about how consumers search for information, and pair that with a strong technical aptitude and ability to analyse large datasets, uncover trends and insights, then turn those findings into actionable recommendations.
Make a significant impact in the first 90 days
Create a comprehensive data model and schema of our wide range of internal and external data sources, develop a roadmap to integrate each provider’s data into a consolidated data warehouse, then begin the process of connecting to each provider’s API or data feed and creating automated jobs to import the data at the appropriate interval. This will include a range of tools including Botify (site crawler), STAT Search Analytics (keyword rankings), Ahrefs (link data), SEMrush (competitive data), and several other providers.
Develop dashboards and/or visualizations of the organic search performance for our network of sites, and write scripts to monitor key metrics to spot issues, uncover significant improvements, and capture high level insights on KPIs, goals and objectives (ex. using traffic data from Google Analytics, plus other tools and metrics).
Build our organization’s data analysis capabilities
You will collaborate cross-functionally across internal teams (marketing, product, technology, research, etc.) to evaluate SEO opportunities that deliver business goals via data analysis and machine learning. Develop and promote a data driven approach by proactively identifying new potential analysis projects and highlight key opportunities to drive our organization forward.
results of your analyses with our team members and across other relevant departments and teams. This includes the conclusions you are drawing to derive meaning from the data, and what business actions you think should be taken as a result of the analysis, plus any learnings from your analysis for how we can improve the collection and upkeep of our datasets.
Take the time to have your data models and analysis reviewed by other team members, coordinate across departments and with our analytics providers to establish best practices and adhere to common naming conversions, and work through your plans with others to troubleshoot potential issues upfront.
You will act as a role model throughout our team, but also our organization by maintaining the highest professional standards, promoting data governance, data management, creative thinking and pushing us to always be our best.
Skills and Qualifications:
– Bachelor’s Degree required in Computer Science, Business Analytics, Data Analytics, or Data Science, Machine Learning, or related field.
– 2+ years of professional work experience in data analysis and machine learning.
– Proficient in SQL, writing queries, reporting and presenting findings.
– Expertise in running statistical analyses using SQL, Python, R, etc.
– Excellent knowledge of data manipulation, data models, data mining and segmentation techniques.
– Hands-on experience with analyzing and extracting insight from large and complex datasets.
– Familiarity with with AB testing and Multivariate testing.
– Strong competency cleansing and organizing structured and unstructured data in XML, JSON, SQL, Google BigQuery, etc.
– Ability to run automated jobs to manipulate and store data from APIs via Google Compute Engine, Google App Engine, Google Cloud Storage, EC2, S3, etc.
– Project experience creating visualizations in Tableau, Power BI, etc.
– Ability to analyze existing databases and data infrastructures and provide improvement and optimizations solutions.
– Expert knowledge of Excel (VLOOKUP, pivot tables, conditional formatting, etc.)
– Familiarity with Google Analytics, Google Search Console and Bing Webmaster Tools.
– Google Analytics Individual Qualification (IQ) preferred.
– Proficiency with HTML5, CSS3 and front-end web programing languages.
CoStar Group, Inc. (NASDAQ: CSGP) is the number one provider of mission-critical information, analytics and online marketplaces for the commercial real estate industry. Headquartered in Washington, DC, CoStar s team of 3,000 worldwide includes the industry’s largest professional real estate research organization. CoStar Group s suite of products including *********** LoopNet com and ************** offers marketing and information solutions to commercial real estate professionals and consumers throughout North America and Europe.
CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing
on Company Website
Job ID: R16495
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CoStar Group, Inc. (NASDAQ CSGP) is commercial real estate’s leading provider of information, analytic and marketing services. Founded in 1987, CoStar is the primary provider of websites for commercial real estate information, analytics and marketing services. The company conducts expansive, ongoing research to produce and maintain the largest and most comprehensive database of commercial real estate information. Contact Info
– 3438 Peachtree Road
Atlanta, GA 30326
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