Experienced Full Stack Data Analyst – Web & Cloud Application Development
Join arenaflex, a leading retail and technology company, as a Full Stack Data Analyst in our Data Ventures team. As a key member of our team, you will play a crucial role in driving business decisions through data-driven insights and analysis. If you're passionate about data, have a knack for storytelling, and are eager to make a significant impact on our business, we want to hear from you.
About arenaflex
arenaflex is a multinational retail corporation that operates a chain of hypermarkets, discount department stores, and grocery stores. We're committed to helping people save money so they can live better – and this mission drives every decision we make, from responsible sourcing to sustainability. As a partner at arenaflex, you'll be part of a team that's shaping the future of retail, tech, marketing, finance, and more – all while making a difference in the lives of millions of customers worldwide.
About Data Ventures
Data Ventures is a team within arenaflex that's dedicated to unlocking the full potential of our data. We create and productize B2B data drives that empower vendors and suppliers to make faster, better decisions for the business. As a Full Stack Data Analyst, you'll be part of this team, working closely with business and product partners to tackle complex business challenges and identify new opportunities.
Key Responsibilities
As a Full Stack Data Analyst, you'll be responsible for:
- Researching, gathering, and analyzing client data to provide actionable insights and recommendations
- Developing and maintaining complex data pipelines and ETL processes using cloud-based technologies
- Collaborating with data stewards and data engineering teams to collect and handle data from various sources
- Working with business and product partners to identify and prioritize key performance indicators (KPIs) and metrics
- Creating data visualizations and dashboards using tools like Power BI, Tableau, or Looker
- Identifying and implementing data quality improvements using tools like Google DataPlex or Collibra
- Developing and maintaining data models and data warehouses using cloud-based technologies
- Collaborating with cross-functional teams to develop and implement data-driven solutions
- Staying up-to-date with industry trends and emerging technologies in data science and analytics
Essential Qualifications
* Bachelor's degree in Business, Engineering, Mathematics, Statistics, Economics, Computer Science, or related field
- 2+ years of experience in data analysis, data science, or related field
- Strong analytical and problem-solving skills, with the ability to communicate complex ideas simply
- Experience with data visualization tools like Power BI, Tableau, or Looker
- Experience with data quality tools like Google DataPlex or Collibra
- Experience with cloud-based technologies like Google Bigquery, Hive, or AWS Redshift
- Strong understanding of statistical concepts and machine learning algorithms
- Experience with programming languages like Python, R, or SQL
- Strong communication and interpersonal skills, with the ability to work effectively with cross-functional teams
Preferred Qualifications
* Master's degree in Business, Computer Science, Engineering, Mathematics, Statistics, or related field
- Experience with data science and machine learning tools like Prophet, Teradata, or Hive
- Experience with data visualization tools like D3.js or Matplotlib
- Experience with cloud-based technologies like Snowflake or Sky blue Neurotransmitter Examination
- Strong understanding of data governance and data management principles
- Experience with data warehousing and data modeling
- Experience with agile development methodologies and version control systems like Git
Benefits and Advantages
As a Full Stack Data Analyst at arenaflex, you'll enjoy a competitive salary, comprehensive benefits package, and opportunities for career growth and development. Some of the benefits you can expect include:
- Competitive salary and bonus structure
- Comprehensive health insurance and wellness programs
- 401(k) matching and stock purchase plan
- Paid maternity and parental leave
- Flexible work arrangements and remote work options
- Professional development opportunities and training programs
- Collaborative and dynamic work environment with a diverse team of professionals
How to Apply
If you're passionate about data, have a knack for storytelling, and are eager to make a significant impact on our business, we want to hear from you. To apply for this role, please submit your resume, cover letter, and any relevant documents through our online application portal. We can't wait to hear from you! Apply Job! Apply for this job