via Indeed
$70K - 120K a year
Analyze and interpret data to support business decision-making through data collection, cleaning, and visualization.
Proficiency in Python, SQL, data visualization tools, and statistical concepts, with experience in data analysis and reporting.
Company Description DataNova Insights is a modern data analytics firm that helps businesses turn raw data into clear, actionable insights. The company specializes in data visualization, predictive modeling, and performance reporting to support better decision-making. Using tools like Python, SQL, and Power BI, DataNova Insights empowers clients from different industries to understand trends, optimize operations, and achieve measurable growth. Job Description A data analyst is responsible for collecting, cleaning, and interpreting data to help a business make informed decisions and improve performance. Core responsibilities • Gather data from multiple sources such as databases, APIs, and internal systems, then ensure its accuracy and completeness before analysis. • Clean, transform, and organize large datasets to remove errors, handle missing values, and standardize formats. • Analyze data using statistical methods and queries to identify patterns, trends, and correlations linked to key business metrics. Reporting and visualization • Build dashboards and reports using tools like Excel, Tableau, or Power BI to present insights in a clear, visual way. • Create regular performance reports and ad hoc analyses for stakeholders, highlighting actionable insights and opportunities for improvement. • Communicate complex findings in simple language so non-technical teams can understand and act on recommendations. Data quality and systems • Maintain and update databases or data systems, including writing SQL queries to extract and manipulate data. • Monitor data quality, identify discrepancies, and implement checks or processes to keep data accurate and reliable. • Support data governance and compliance by following policies on data privacy, security, and documentation. Qualifications Typical requirements • Strong skills in SQL and at least one analytical tool or language such as Excel, Python, or R. • Experience with data visualization tools (e.g., Tableau, Power BI, Looker) and basic statistical concepts. • Analytical mindset, attention to detail, and good communication skills to work with stakeholders across business functions. Additional Information All your information will be kept confidential according to EEO guidelines.
This job posting was last updated on 1/13/2026