Data Analyst
2 weeks ago
Position Title: Data Analyst
Location: Hyderabad, Telangana.
Hire Type: Full Time
Start Date: Immediate
Introduction: As a key member of our analytics team, the Data Analyst will leverage BI tools to create impactful insights that drive decision-making and strategic planning. The ideal candidate will possess a strong foundation in data analysis methodologies and experience in BI platforms. This role requires a proactive individual who can collaborate with various teams to understand business needs and deliver comprehensive data-driven solutions.
Key Responsibilities:
Assist in the development and management of BI dashboards and reports to provide actionable insights into key business performance metrics.
Work with cross-functional teams to gather, interpret, and utilize data to influence business decisions.
Perform data extraction, cleaning, and analysis using SQL and other data manipulation languages.
Create visualizations that effectively communicate trends, patterns, and predictions using relevant data.
Implement and maintain best practices for data security and quality.
Assist in the development and deployment of data models and databases.
Continuously improve existing BI systems and processes by conducting regular system assessments and implementing new technologies as needed.
Provide training and support to business users to enhance their understanding of BI tools.
Required Skills and Qualifications:
Bachelor’s degree in Data Science, Computer Science, Information Technology, or a related field.
Minimum of 2 years of experience as a Data Analyst or in a related role.
Strong knowledge of BI tools such as Power BI, Tableau, or similar data visualization tools.
Proficient in SQL and familiarity with programming languages like Python or R.
Excellent analytical, problem-solving, and organizational skills.
Strong communication skills, with the ability to convey complex data in a clear and concise manner.
Ability to work independently and collaboratively in a team environment.
Desirable Skills:
Experience with cloud services like AWS, Azure, or Google Cloud.
Knowledge of machine learning techniques and their applications in business analytics.
Knowledge of data cleansing and preparation.
Background in statistical analysis and model development.
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