Top Remote Analysis Reporting Jobs in Little Rock,

The Solutions Associate will develop and deliver data-driven insights products for clients. They will collaborate with marketing, sales, and data product teams to provide actionable insights and recommendations.

As a Senior Data Scientist at StackAdapt, you'll focus on building predictive models to enhance business operations, identify high-potential customers, and implement time series forecasting. The role requires collaboration with internal teams and coding production-ready algorithms. You need a strong data science background and a willingness to turn ambiguous tasks into actionable steps.

As an Analytics Engineer, you will build and manage reporting data models and infrastructure using Snowflake, create reports using Looker, and support data integration with a focus on minimizing development cycles. You will also train team members on data models and maintain relevant documentation.

The Data Analyst will design and implement the company's data pipeline and ETL processes, collaborating with various teams to promote data-driven decision-making. Responsibilities include developing SQL queries for reports, optimizing data flows, and evaluating infrastructure tools for analytics.

The Support Analyst provides front-line Level 1 support to internal and external users, managing help requests, documenting issues, and ensuring timely responses per established SLAs. They work with the Support Desk Team to enhance customer experience and operational efficiency.

The Treasury Analyst, Capital Strategy will manage credit facilities and the investment portfolio, work on capital market transactions, monitor investments, and cover cash management processes. Responsibilities include preparing reports, conducting analysis, and maintaining relationships with financial counterparties.

The SQL Analyst at Sophinea will analyze and interpret data, developing efficient SQL queries and reports to provide insights to the organization. The role involves collaborating with teams, extracting and manipulating large datasets, creating visualizations, and optimizing SQL performance while ensuring data quality and accuracy.