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Data Analyst

EXTRA HOLIDAYS - FULLY FLEXIBLE
Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Degree in Computer Science or related field, Minimum 3 years data analyst experience.

Key responsabilities:

  • Utilize Snowflake for data analysis
  • Use dbt for data transformation and modeling
  • Develop workflows to ensure data consistency
  • Collaborate with team on refining processes
Experian logo
Experian Information Technology & Services XLarge https://www.experianplc.com/
10001 Employees
HQ: Costa Mesa
See more Experian offers

Job description

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Your missions

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, deliver digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

 

We invest in talented people and new advanced technologies to unlock the power of data and innovate. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland.

Learn more at Experian plc | Bringing financial health to all

Job Description

Role Summary

Experian are currently looking for a Data Analyst to join our growing Product Development team. This is an exciting opportunity to join a skilled and talented team of technical experts working in fast-paced environment. Experian Marketing Services is in the midst of a transformation to become a product-led organisation and as such we are constantly looking for new ways to make our products more efficient, reliable, and deliver more value to our clients. The ideal candidate should be a proactive data analyst with experience in leveraging modern data stack tools such as Snowflake, dbt, Dagster (Python), Jupyter, and AWS services. While statistical analysis skills are advantageous, they are not mandatory but would be considered a differential.

Knowledge, Skills and Experience

  • Curiosity. We value above all an individual that's curious about the job that's being done.
  • Technical Proficiency: You must be a SQL wizard, we'd love experience with cloud data platforms like Snowflake. Proficiency in Python, especially in a data context using Jupyter and orchestration tools such as Airflow and Dagster
  • Data Transformation Skills: Experience with data build tool (dbt) or ELT paradigm for transforming data in a warehouse environment
  • Analytical Skills: Ability to derive insights from complex data sets and present them in a clear and concise manner.
  • Communication: Excellent verbal and written communication skills to effectively share findings and collaborate with team members.
  • Desirable: Experience with data visualization tools (Tableau, PowerBI or Superset), Knowledge of additional programming languages or analytics tools. Ability to innovate and show initiative

Key Responsibilities

  • Data Analysis and Reporting: Utilize Snowflake for querying and analysing large datasets, and create meaningful reports and visualizations in Jupyter or dataviz tools such as Tableau and Superset.
  • Data Transformation and Modeling: Employ dbt to structure and transform data to optimize analysis and reporting.
  • Workflow Management: Develop and manage workflows (we have a preference for Dagster/Python) to ensure data quality and consistency across tasks.
  • Collaborative Projects: Work closely with data engineers and other analysts to refine data collection and analysis processes.

Qualifications

Qualifications

  • Education and Experience: Degree in Computer Science, Information Systems, Statistics, or a related field. At least 3 years of experience in a data analyst role, preferably with exposure to the modern data stack and cloud data infrastructure

What you'll bring

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Additional Information

Our uniqueness is that we truly celebrate yours. Experian's culture and people are key differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's strong people first approach is award winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.

 

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Information Technology & Services
Spoken language(s):
Check out the description to know which languages are mandatory.

Soft Skills

  • communication
  • analytical-skills
  • Curiosity

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