Firm Name: Walmart

Numbers of Jobs: Staff Data Analyst

Education Need: Graduate

Job Hours: 8

Payment: $20-$30/Hours

What's Job City: SAN BRUNO

Job Details:

Exactly what you'll do.

 The Walmart eCommerce team is innovating quickly to establish and alter how consumers will shop in the future. As the biggest retailer in the world, we are dedicated to helping people make financially sensible lifestyle decisions. With the help of some of the brightest minds in technology, merchandising, marketing, supply chain, talent, and more, we are reimagining the point where digital and physical shopping collide in order to further that goal.

 The staff data analyst and SEO product analyst will be in charge of leading the technical SEO site analysis for the eCommerce business. He or she will produce useful insights from a wealth of competitive, conversion, and behavioral data from both proprietary and third-party sources. This position provides support for the Walmart Marketing Technology team, a future-focused, action-biased, data-driven team tasked with defining the next generation of technology to support large-scale marketing requirements. This position requires a lot of visibility within the company and comes with a lot of responsibility. Given the complexity of the position, extensive data analysis and research are required. Complex analytics, the development of trustworthy, expandable databases, the capacity to configure business-impacting systems, and the ability to automate procedures and reports are all necessary.

 Our industry-leading SEO Analytics platform is being developed under the supervision of the Staff Data Analyst, SEO Product Analyst. The ideal candidate has demonstrated success managing projects, effectively communicating, and utilizing data to tenaciously and creatively solve complex problems. As you work to use data to drive the right business outcomes, your goal should be to create solid, data-backed strategies for new products and site strategies.

 What you'll be working on, or your job duties.

•  responsible for all SEO analytics. Create baseline and advanced reporting for typical site conversion metrics using well-known analytics platforms, such as forecast and opportunity analysis.
•  Utilize dynamic inputs from throughout the company to produce a thorough, trended, and automated analysis of the key site performance metrics.
•  Use data science to evaluate or test the effects of SEO products.
•  Control the integration of external APIs. Map out and create insightful connections across our entire dataset. Manage the integration of external APIs.
•  Find SEO opportunities across the entire website using detailed analytics (performance, crawl, indexation, site taxonomy, and prioritization).
•  Give the rest of the company trend analyses for particular campaigns.

 A strong contender would be.

•  possess R, Python, Google Big Query, and SQL programming expertise.
•  possess expertise in analyzing large datasets, finding trends, and telling stories with data.
•  can effectively communicate using data by being able to succinctly and clearly summarize information.
•  possesses initiative and the ability to complete tasks without much guidance.
•  An advantage is having prior optimization experience.
•  An advantage is knowing how to manage your inventory and supply chain.
•  Prior retail and online business experience would be advantageous.
•  positive outlook and willingness to try new things.

 Included in the qualifications are.

•  Experience with SEO for at least 5 years is necessary.
•  In order to manipulate a large amount of data to support business decisions, one must be an expert in SQL and Excel.
•  You take a scientific approach to solving problems, but you're also persistent and have excellent business sense.
•  Excellent analytical, communication, and organizational skills.
•  practical experience using data analysis/visualization software, such as VBA, R, Python, Google Big Query, Looker, Tableau, KNIME, SAS, MATLAB, or another program.
•  Strong analytical abilities, attention to detail, and the ability to delve deeply when required. Thinker who can complete analytical tasks with minimal supervision and who is organized and structured.

 Among the advantages and benefits are.

 You might also be qualified for incentives based on performance in addition to competitive pay. Other great benefits include paid parental and maternity leaves, stock purchase plans, paid time off (PTO), a variety of health insurance options, and many more.

 Employer who values diversity.

 Walton, Inc. is an active supporter of equal employment opportunities. We believe that we are better able to help people live better lives when we have a deep understanding of our associates, customers, and the communities we serve. This entails respecting diversity—unique styles, experiences, identities, ideas, and opinions—while also being inclusive of everyone.

 What We Are.

 Join Walmart and you could each week help to make 275 million people's lives better. That's correct—we are a Fortune 1 company. However, you'll soon realize that we're a company that wants you to feel comfortable bringing your whole self to work. A kinder way of life in a job at Walmart allows you to tackle the world's most challenging issues. Our mission goes far beyond the boundaries of our stores. Join us to discover why we are a world leader in diversity and inclusion, sustainability, and community involvement. The freedom and resources required for you to get started on the best work of your life as soon as possible will be provided. careers. internet site for Walmart.

 For a healthier body, mind, and wallet, Walmart offers competitive pay, performance-based incentive awards, and other great benefits. There are benefits for health, vision, and dentistry. Financial benefits include things like 401(k), buying stocks, and getting life insurance from the employer. Paid time off, including sick leave, is provided for bereavement, jury duty, parental leave, family care leave, and voting. Additional perks include company discounts, military leave pay, short- and long-term disability benefits, adoption and surrogacy expense reimbursement, and more.

 You'll also receive PTO and/or PPTO, which you can use for things like holidays, vacations, and sick days. The amount you are paid depends on your job category and length of employment. All applicable legal requirements for paid sick time will be met, if not exceeded. For information on PTO, go to https://one. notices at walmart.com.

 Live Better U is a Walmart-funded education benefit program for full-time and part-time staff at Walmart and Sam's Club locations. In addition to short-form certificates and English language instruction, there are programs that range from high school graduation to bachelor's degrees. The full cost of tuition, books, and fees has been covered by Walmart.

 For some benefits, you might need to meet eligibility requirements, depending on your job classification and length of employment. Benefits, which are also subject to change, may be subject to the terms of a specific plan or program. Regarding eligibility and benefits information, see One. Walmart can be found at bit.ly/3iOOb1J.

•  The salary range for this position is $128,000-$192,000 annually.
•  Annual or quarterly performance bonuses are available as additional compensation.

 Additional compensation for some jobs could also include:.

•  - The location-specific Regional Pay Zone (RPZ).
•  - Stock equity bonuses.

 Minimum standards that must be met.

•  The following is a list of the essential qualifications for this position. In the absence of any prerequisites being listed, none exist.
•  Option 1 requires a bachelor's degree in business, engineering, statistics, economics, analytics, mathematics, the arts, finance, or a field related to it, plus three years of experience in data analysis, data science, statistics, or a related field. Option 2: A master's degree in business, engineering, statistics, economics, analytics, mathematics, computer science, information technology, or a closely related field, along with one year of experience in data analysis, statistics, or a related field. Option 3: Five years of experience in a related field, such as data science, statistics, or data analysis.

 Preferred Conditions.

•  For this position, the following are the optional preferred requirements. If none are listed, there are no preferred credentials.
•  Data science, data analysis, statistics, or a related field; a master's degree in business, computer science, engineering, statistics, economics, analytics, mathematics, information technology, or a related field; relevant industry experience (like in retail, merchandising, healthcare, or eCommerce); and the accomplishment of assessments in data analysis and business intelligence tools and scripting languages (like SQL, Python, Spark, Scala, R, or Power B).