Data Analyst (Technology)

In the story of Snappfood, we believe in creating value that goes beyond the ordinary. We are willing to establish innovative tendencies and are eager to have you on our team to help us get through our business challenges with creativity, intelligence, and agility.
We are waiting for you to continue this story.

Responsibilities:
•    Collect and analyze large datasets to extract meaningful insights and trends
•    Identify patterns and trends in data and provide actionable recommendations to improve business performance
•    Develop and maintain data models, dashboards, and reports for regular data analysis and reporting
•    Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions
•    Clean, validate, and transform data to ensure accuracy and consistency
•    Conduct exploratory data analysis to identify areas for improvement and optimization
•    Perform statistical analysis, data mining, and predictive modeling to support decision-making processes
•    Develop and implement data quality assurance strategies to ensure data integrity
•    Stay updated with industry trends, tools, and best practices in data analysis and reporting
•    Communicate findings and insights to stakeholders in a clear and concise manner

 Requirements:
•    Minimum of 2-3 years of experience in data analysis or a related field
•    Proficiency in using data analysis tools such as SQL, Python, R, or SAS
•    Experience with data visualization tools like Tableau, Power BI, or Excel
•    Familiarity with database management systems and data warehousing concepts
•    Knowledge of statistical techniques and machine learning algorithms
•    Experience in working with large datasets and data cleaning/validation techniques
•    Proficient in SQL for data extraction, manipulation, and analysis
•    Strong programming skills in languages such as Python, R, or SAS
•    Familiarity with data visualization tools like Tableau, Power BI, or Excel
•    Experience with statistical analysis, data mining, and predictive modeling techniques
•    Knowledge of database management systems (e.g., MySQL, Oracle) and data warehousing concepts
•    Understanding of data cleaning, transformation, and validation techniques
•    Ability to work with big data technologies such as Hadoop, Spark, or Hive
•    Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services
•    Bachelor's degree in a relevant field such as Mathematics, Statistics, Computer Science, or Economics. A master's degree is preferred

Benefits:
•    Vouchers for vacation, Gym, Therapy Sessions, Internet Costs
•    Complementary Insurance
•    Educational platform of advanced courses
•    Snappfood’s Discount codes
•    Loans