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Analytics Engineer II - Finance

75% Flex
EXTRA HOLIDAYS
Remote: 
Full Remote
Contract: 
Full time
Experience: 
Senior (5-10 years)
Work from: 
Mexico

Offer summary

Qualifications:

Degree in relevant field, 5+ years experience in data analytics, Strong knowledge of data models.

Key responsabilities:

  • Improve data consumption and governance
  • Extract, analyze, and interpret data efficiently
  • Develop and automate data pipelines
  • Create dashboards for monitoring purposes
  • Provide support to Finance and Accounting team
Kueski logo
Kueski Fintech: Finance + Technology SME https://kueski.com/
501 - 1000 Employees
About Kueski
Kueski is the largest online consumer lender in Mexico, that provides financial services for users who are ineligible for traditional bank loans. Thanks to its technology and data analysis criteria, the company has positioned itself as a market leader. In 2016, Adalberto Flores, CEO and Co-founder of Kueski, was recognized as Mexican Entrepreneur of the Year by Endeavor. Tuesday Capital, Victory Park Capital, Sobrato Family, Angel Ventures Mexico, Rise Capital, Core Ventures Group, Ariel Poler, Pedro Aspe, Bismarck Lepe, Variv Capital, David Begler, Endeavor Catalyst, and Auria Capital are among the companies betting on this project. Check out the Jobs section to see all the open positions that we have, and enjoy the most creative, smart, disruptive and fun team that you could imagine.
See more Kueski offers

Job description

Logo Jobgether

Your missions

About Kueski
At Kueski, we're dedicated to improving the financial lives of people in Mexico. Since 2012, we've been the leading buy now, pay later (BNPL) and online consumer credit platform in Latin America, known for our innovative financial services. Our flagship product, Kueski Pay, provides seamless payment solutions for both online and in-store transactions, establishing itself as the preferred option for a quarter of Mexico's top e-commerce merchants. Notably, we were the first to introduce BNPL on Amazon Mexico.

We're a tech company with a culture geared toward innovation, collaboration, and impact, fostering a strong, diverse, and inclusive company culture. In 2023, Kueski was recognized as the top BNPL platform by Fintech Breakthrough and earned the title of one of Mexico's most ethical companies from AMITAI. Additionally, we ranked as one of the Best Companies for Female Talent by EFY.

Purpose
As an Analytics Engineer with strong capabilities to implement the best technologies for data processing and at the same time with a strong analytical drive to generate the best business outcomes. 

Key Responsibilities
  • Improve the way our company consumes data: develop and deploy trusted and well-governed datasets with a high impact on the company
  • Extract data from primary or secondary data sources and maintain databases/data systems
  • Work with large amounts of data (in an efficient and optimized fashion)
  • Interpret data and analyze results using statistical techniques. Provide ongoing reports related to such business and data analyses
  • Performing analyses to assess the quality of our data
  • Develop and automate production-level data pipelines 
  • Leverage data visualization tools to represent the data in a business-friendly manner
  • Locate and define new process improvement opportunities
  • Automate and optimize recurrent and manual processes
  • Full support to Finance and Accounting team 
  • Full understanding of the F&A processes
  • To develop new data models with dbt, only for Finance & Accounting purposes
  • Creation of dashboards to monitor inconsistencies
  • Automation of the reports ready to be use for the Accounting & Finance team


    • Position Requirements
  • A degree in fields such as Engineering, Actuarial Sciences, Physics, Mathematics, or similar
  • +5 years of experience as a Data Analyst / Business Analyst / Data Engineer or a similar discipline working closely with Finance teams  
  • Experience in working with P&L, Financial statements, Vintage / Cohorts analytics and other Finance methodologies to makes sense of financial data  
  • Strong experience in the Analysis and Design of Data Models,
  • Strong understanding of domain concepts like Keys, Dimensions, Star schemas, snowflake schemas, OLAP, DWH, ODS, EDW, DataLake
  • Experience with data analysis tools like Databricks, Astronomer, Airflow,  DataCatalog, etc.
  • Solid experience with manipulating data using SQL
  • Experience implementing and automating data pipelines
  • Experience with data building and modeling tools (data build tool) and version control systems (git)
  • Experience with ETL/ELT design, development, optimization & testing
  • Strong experience developing dashboards with BI tools like Tableau
  • Experience working with statistical analyses and experiments: A/B tests, significance tests, etc.
  • Strong skills to communicate clearly and effectively analyses and reports both to technical and non-technical audiences
  • A clear focus on business objectives and results
  • Provide technical guidance and mentorship to junior analytics engineers and team members.
  • Fluency in English


    • You’ll love working at Kueski because:
  • We have a mission-driven culture focused on customer value, teamwork, humility,  and integrity. 
  • Everyone is expected to have role clarity, career growth, and a personal development plan. Feedback and recognition  is embedded in our company processes, systems, and practices. 
  • We ensure competitive salary, medical insurance, and wellbeing through ample and flexible time off as well as mental healthcare benefits. Everyone is an owner and eligible for competitive stock options with a company poised for success. 
  • We´re committed to building an inclusive and diverse team and we know this leads to incredible work.
    • Kueski: Where talent excellence improves Mexican lives

    #LifeAtKueski #KueskiTalent

    Required profile

    Experience

    Level of experience: Senior (5-10 years)
    Industry :
    Fintech: Finance + Technology
    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Hard Skills

    AstroAnalysisData ModelingSQLETL DevelopmentBusiness IntelligenceStatistical MethodsDatabricksAirflowData WarehousesGit

    Soft Skills

    • Analytical Thinking
    • Strong Communication
    • Team Collaboration
    • Attention to Detail
    Are you interested?

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