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Day 7
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Strong analytical thinking, problem-solving skills and attention to detail Please note that this is a hybrid position and requires going to the Guadalajara office 4 times per week. If you're interested, please apply with your resume in EnglishRead the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Analyze complex datasets to reveal trends, risks and opportunities
Build dashboards, reports and visualizations using Tableau and PowerPoint
Ensure data accuracy, integrity and consistency
Consult with Marketers and stakeholders across the campaign cycle to optimize KPI performance
Partner with the data engineering team to keep data available and reliable
collecting, interpreting, and analyzing complex datasets to reveal trends, risks, and opportunities
It supports the creation of dashboards, reports, and visualizations using tools like PowerPoint and Tableau
while ensuring data accuracy, integrity, and consistency
Consult with and influence Marketers and other stakeholders throughout the full campaign cycle to adopt strategies and constructs that optimize KPI performance
partners with the data engineering team to maintain data availability and reliability
Strong analytics
Required Education, Experience, Technical Skills and Knowledge: Education: Bachelor’s degree in Statistics, Economics, Mathematics, Computer Science preferred or equivalent combination of education and work-related experience. Experience: 3–5 years’ experience in a relevant role or field
Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 7
Similar jobs usually come down between day 5 and day 41.
From 10,625 similar postings that came down. Coming down is not always a hire.
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Proficiency in SQL (intermediate/advanced) - Python for data analysis. - Experience with data visualization tools
Purpose of the role: This role supports Marketing needs and involves collecting, interpreting, and analyzing complex datasets to reveal trends, risks, and opportunities that guide strategic decisions. It supports the creation of dashboards, reports, and visualizations using tools like PowerPoint and Tableau, while ensuring data accuracy, integrity, and consistency. The role fosters collaboration across departments to align data initiatives with business needs and partners with the data engineering team to maintain data availability and reliability. Strong analytics Job Responsibilities:
Technical Skills and Knowledge - Proficiency in SQL (intermediate/advanced) - Python for data analysis.
Complete your application on fa-evax-saasfaprod1.fa.ocs.oraclecloud.com. The employer’s form will show what is required.
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We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Purpose of the role:
This role supports Marketing needs and involves collecting, interpreting, and analyzing complex datasets to reveal trends, risks, and opportunities that guide strategic decisions. It supports the creation of dashboards, reports, and visualizations using tools like PowerPoint and Tableau, while ensuring data accuracy, integrity, and consistency. The role fosters collaboration across departments to align data initiatives with business needs and partners with the data engineering team to maintain data availability and reliability. Strong analytics
Job Responsibilities:
Consult with and influence Marketers and other stakeholders throughout the full campaign cycle to adopt strategies and constructs that optimize KPI performance
Collaborate closely with Marketing stakeholders to understand campaign goals, tactics, strategies and KPIs
Develop measurement strategies and measure campaign performance; generate and present meaningful and actionable insights in an influential manner that Marketers can use to drive KPI performance
Collect, interpret, and analyze complex datasets to uncover trends, risks, and opportunities that inform strategic decisions
Ensure the accuracy, integrity and consistency of the data used for analysis
Foster collaboration with other departments to understand their needs and ensure that data initiatives are relevant and impactful
Partner with the data engineering team to ensure our data is available and accurate
Other job duties as assigned based on focus of the role
Required Education, Experience, Technical Skills and Knowledge:
Education: Bachelor’s degree in Statistics, Economics, Mathematics, Computer Science preferred or equivalent combination of education and work-related experience.
Experience: 3–5 years’ experience in a relevant role or field
Technical Skills and Knowledge
Proficiency in SQL (intermediate/advanced)
Python for data analysis.
Experience with data visualization tools
Strong analytical thinking, problem-solving skills and attention to detail
Please note that this is a hybrid position and requires going to the Guadalajara office 4 times per week.
If you're interested, please apply with your resume in English
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Mexico
- Strong analytical thinking, problem-solving skills and attention to detail Please note that this is a hybrid position and requires going to the Guadalajara office 4 times per week. If you're interested, please apply with your resume in English
No clear work-authorization passage found. Eligibility is unconfirmed.