Data Analyst

The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users. **Responsibilities** * Understand the day\-to\-day issues that our business faces, which can be better understood with data * Compile and analyze data related to business' issues Develop clear visualizations to convey complicat **Data Analyst** Entry Level Data Analyst \| New Orleans, LA \| $62,000\-$72,000 Data is only useful when someone can turn it into a decision. We are hiring a Data Analyst in New Orleans to clean, organize and interpret information across customer activity, operations and marketing performance. You will build repeatable reports, investigate changes in results and explain the finding in language that non\-technical colleagues can use. This is an entry\-level opportunity for someone with strong analytical foundations developed through education, an internship, a first reporting role or a substantial project. You do not need years of commercial experience, but you must be careful with definitions, transparent about assumptions and willing to check your work before sharing a conclusion. **The questions you will investigate** * Which customer, campaign or operational trends are changing and what may be influencing them? * Where are data gaps, duplicates or inconsistent definitions affecting reporting quality? * Which audiences, channels or processes are producing stronger outcomes? * What should a manager monitor regularly, and what belongs in a one\-time analysis? **Your analysis workflow** 1\. Extract and combine information from spreadsheets, CRM or operational systems. 2\. Clean and validate the data, documenting definitions and limitations. 3\. Use Excel, SQL and visualization tools to identify patterns, exceptions and changes over time. 4\. Build dashboards and concise reports for recurring business questions. 5\. Present findings with the evidence, the implication and a practical recommendation. 6\. Maintain report documentation and improve recurring processes as requirements evolve. **Foundations for success** We are looking for strong Excel skills, analytical reasoning and clear written communication. Academic or project exposure to SQL, Power BI, Tableau, statistics, data visualization or business intelligence will strengthen your application. A degree in analytics, economics, statistics, business, information systems or a related discipline is preferred, although equivalent practical training may be considered. **Salary and development** * $62,000\-$72,000 annual salary. * Medical, dental and vision insurance, 401(k), student loan assistance and paid leave. * Training in data governance, business definitions and the organization's reporting systems. * Development toward Business Intelligence Analyst or Senior Data Analyst responsibilities. **Let the work speak clearly** Apply through LinkedIn with your resume. You may include a relevant dashboard, analysis project or portfolio link, but this is optional at the first stage. * Employment decisions are based on qualifications and role requirements, with equal opportunity for all applicants.ed data in a straightforward fashion **Qualifications** * Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience * 1 \- 2 years' Data Analysis experience * Proficient in SQL