Data Analyst

Social network you want to login/join with: We are seeking a motivated and detail-oriented Data Analyst to join our team. The ideal candidate will work with large datasets, interpret trends, and provide actionable insights to support business decision-making. The Data Analyst will be responsible for data gathering, cleansing, processing, and analyzing, as well as presenting findings to stakeholders in a clear and concise manner. Key Responsibilities: Data Collection & Cleaning: Gather, clean, and organize data from various internal and external sources. Ensure the accuracy, integrity, and quality of data before analysis. Data Analysis: Use statistical techniques and data analysis tools (e.g., Excel, SQL, Python, R) to interpret data and generate actionable insights. Identify trends, patterns, and anomalies in the data to inform decision-making. Reporting: Create regular reports, dashboards, and visualizations to communicate findings to management and other stakeholders. Present complex data in an easily understandable format (charts, graphs, tables, etc.). Work closely with cross-functional teams (marketing, sales, finance, etc.) to understand their data needs. Support data-driven strategies to optimize business processes and performance. Develop and implement data models and algorithms to improve decision-making processes. Suggest improvements in data collection, storage, and analysis methods to optimize workflows. Collaborate with team members and business leaders to understand key performance indicators (KPIs) and provide data support for ongoing initiatives. Job Requirements: Key Qualifications: Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field. Strong proficiency in data analysis tools (Excel, SQL, Python, R, etc.). Experience with data visualization tools such as Tableau, Power BI, or similar. Knowledge of statistical methods and techniques. Familiarity with database management and data warehousing. Strong communication skills with the ability to explain technical findings to non-technical stakeholders. Detail-oriented with a strong analytical mindset. Ability to work independently as well as part of a team. Preferred Qualifications: Advanced degree (Master\’s or higher) in a related field. Experience with machine learning models and predictive analytics. Knowledge of cloud platforms (AWS, Google Cloud, Azure) is a plus. Soft Skills: Problem-solving mindset. Strong attention to detail and a passion for working with data. Ability to adapt to new tools, technologies, and processes. Strong organizational and time-management skills. #J-18808-Ljbffr