About the role
We are looking for a skilled Data Analyst with at least 7 years of experience to collect, process, and perform statistical analyses on large datasets. The ideal candidate should be able to turn data into meaningful insights to support strategic decision-making.
Key Responsibilities:
Analyze complex data sets and generate actionable insights
Develop and maintain dashboards and reports
Identify trends, patterns, and anomalies in data
Collaborate with business units to define data requirements
Present findings to stakeholders in clear, concise reports
Key Skills:
Strong analytical and problem-solving skills
Proficiency in tools such as Excel, SQL, Power BI, Python, or R
Excellent communication and reporting abilities
Transform raw data into actionable insights by utilizing statistical methods and data visualization techniques to support business decision-making.
Collaborate with cross-functional teams to understand data requirements and provide timely and accurate reports that meet business needs.
Conduct thorough data cleansing and validation processes to ensure data integrity and reliability before analysis.
Leverage advanced analytical tools and software, such as SQL and Python, to conduct exploratory data analysis and identify trends.
Prepare and present findings in a clear and compelling manner, using storytelling techniques to convey complex data insights to stakeholders.
Monitor key performance indicators (KPIs) and develop dashboards to track business performance effectively.
Participate in the design and implementation of data collection systems, ensuring they capture relevant metrics for future analysis.
Stay up-to-date with industry trends, emerging technologies, and best practices in data analytics to continuously improve processes.
Assist in the creation of predictive models that forecast potential trends based on historical data, enhancing decision-making capabilities.
Provide training and support to team members on data tools and analytics techniques, fostering a data-driven culture within the organization.
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