Job Summary:We are seeking a Junior Data Analyst to join our growing company and support our existing data team. In this role, you will work closely with senior analysts to collect, analyze, and visualize data that drives key business decisions. You will use your skills in Python, SQL, and data visualization to transform raw data into actionable insights. This position is crucial for helping the company leverage data effectively, and it offers an excellent opportunity for an early-career professional to grow and develop in a dynamic startup environment.Key Responsibilities: Data Collection & Cleaning: Gather data from various sources, including internal databases and third-party platforms (such as Keen and SendGrid), and perform data cleaning and validation to ensure accuracy and reliabilityData Analysis: Use Python and statistical techniques to analyze datasets, identify trends, patterns, and anomalies, and generate insights under the guidance of senior data team membersReporting & Visualization: Develop and maintain reports, dashboards, and visualizations using tools like Tableau or Power BI to effectively communicate data findings to stakeholders across the organizationSQL Querying: Write, optimize, and execute SQL queries to extract and manipulate data from relational databases for ongoing analysis and ad-hoc requestsCollaboration: Work closely with the data team and cross-functional departments (e.g., marketing, product, engineering) to understand data needs and support various projects with data-driven insightsQuality Assurance: Ensure data integrity by conducting thorough quality checks on analyses and reports, and troubleshoot data issues in collaboration with the teamContinuous Improvement: Stay up-to-date with analytics best practices and emerging data tools, and proactively suggest improvements to data processes and workflowsRequirements:Education: Bachelors degree in Data Science, Statistics, Computer Science, Economics, or a related field (or equivalent practical experience)Experience: Approximately 1-3 years of experience in data analysis or a similar role. Internship experience and relevant academic projects will be consideredTechnical Skills: Proficiency in Python for data analysis (including libraries such as pandas and NumPy) and scripting. Strong SQL skills for querying and managing data in relational databasesData Visualization: Experience creating reports and interactive dashboards using Tableau, Power BI, or similar toolsAnalytical Ability: Solid understanding of data analysis techniques and basic statistical concepts. Capable of interpreting data, identifying trends, and drawing actionable conclusionsProblem-Solving: Excellent analytical thinking and problem-solving skills with keen attention to detail and accuracyCommunication: Strong verbal and written communication skills. Able to explain data insights clearly to non-technical stakeholdersTeamwork: Ability to work effectively in a team environment, collaborate with others, and manage multiple tasks or projects simultaneouslyAdaptability: Eagerness to learn new tools and methodologies. Comfortable working in a fast-paced startup setting and adapting to changing prioritiesNice to Have:Experience with Keen (analytics platform) and SendGrid (email delivery platform)Familiarity with cloud data services or platforms (AWS, GCP, Azure) and data storage/processing toolsExposure to big data tools and frameworks (e.g., Hadoop, Spark) or data warehousing solutionsKnowledge of additional programming or scripting languages (e.g., R, Java) and related data science toolsExperience with advanced Excel functions or Google Sheets for data analysis tasksBasic understanding of machine learning or statistical modeling techniques