Source description
About the role
As a data analyst, you will be responsible for consulting with clients to understand their business goals and data challenges. You will design and implement data collection, cleansing, and transformation processes while analyzing structured and unstructured data using tools like SQL, Python, or R. Your role will also involve creating dashboards, reports, and visualizations using tools such as Power BI, Tableau, or Looker. Additionally, you will provide strategic recommendations based on data analysis and business objectives, working closely with cross-functional teams to align data strategies. Ensuring data quality, integrity, and compliance with relevant data governance standards will be a key part of your responsibilities, along with documenting findings, processes, and methodologies for stakeholders. Qualifications Required: - Bachelor's degree in Data Science, Computer Science, Statistics, Business Analytics, or related field - 5-8 years of experience in data analytics, business intelligence, or data consulting - Proficiency in SQL and at least one programming language (e.g., Python, R) - Experience with data visualization tools (e.g., Tableau, Power BI, Qlik) - Strong problem-solving skills and business acumen - Excellent communication skills to present complex data insights to non-technical audiences - Knowledge of cloud platforms (AWS, Azure, or GCP) is a plus Preferred Qualifications: - Experience with data warehousing (e.g., Snowflake, Redshift, BigQuery) - Knowledge of machine learning concepts or tools - Experience working in a client-facing consulting role - Certifications in data analytics or cloud platforms (e.g., Google Data Engineer, Microsoft Azure Data Scientist) As a data analyst, you will be responsible for consulting with clients to understand their business goals and data challenges. You will design and implement data collection, cleansing, and transformation processes while analyzing structured and unstructured data using tools like SQL, Python, or R. Your role will also involve creating dashboards, reports, and visualizations using tools such as Power BI, Tableau, or Looker. Additionally, you will provide strategic recommendations based on data analysis and business objectives, working closely with cross-functional teams to align data strategies. Ensuring data quality, integrity, and compliance with relevant data governance standards will be a key part of your responsibilities, along with documenting findings, processes, and methodologies for stakeholders. Qualifications Required: - Bachelor's degree in Data Science, Computer Science, Statistics, Business Analytics, or related field - 5-8 years of experience in data analytics, business intelligence, or data consulting - Proficiency in SQL and at least one programming language (e.g., Python, R) - Experience with data visualization tools (e.g., Tableau, Power BI, Qlik) - Strong problem-solving skills and business acumen - Excellent communication skills to present complex data insights to non-technical audiences - Knowledge of cloud platforms (AWS, Azure, or GCP) is a plus Preferred Qualifications: - Experience with data warehousing (e.g., Snowflake, Redshift, BigQuery) - Knowledge of machine learning concepts or tools - Experience working in a client-facing consulting role - Certifications in data analytics or cloud platforms (e.g., Google Data Engineer, Microsoft Azure Data Scientist)
More at Straive