{"id":16949,"date":"2024-06-12T05:16:33","date_gmt":"2024-06-12T05:16:33","guid":{"rendered":"https:\/\/exam4sure.com\/jobs\/?p=16949"},"modified":"2024-06-12T05:16:33","modified_gmt":"2024-06-12T05:16:33","slug":"data-analyst-ii-remote","status":"publish","type":"post","link":"https:\/\/exam4sure.com\/jobs\/data-analyst-ii-remote\/","title":{"rendered":"Data Analyst II (remote)"},"content":{"rendered":"

Join Our Community of Food People!<\/strong><\/p>\n

Data Analyst II (remote)<\/a><\/h5>\n

We are unable to provide sponsorship for employment visa status (e.g., OPT, F-1, EAD, OPT-EAD or H-1B visa status). Candidates who require sponsorship and are not eligible to work in the United States are not eligible to apply.<\/p>\n

In a world where data is critical for our success, US Foods is expanding its Enterprise Data team to create modern enterprise-wide data capabilities for decision-making, new insights, operational excellence, and limiting risk across all functions and teams. The Data Analyst is an individual contributor role on the IT Enterprise Data team, and you are responsible for developing reports and analyses leveraging the data in our cloud data warehouse. This role reports to the Manager, BI & Reporting.<\/p>\n

Ideal candidate would have successful track record of creating reporting and analyses in modern data technologies like Tableau, CRM Analytics, SAQL, Sigma, Snowflake, and SQL.<\/p>\n

Data Analyst II (remote)<\/a><\/h5>\n

We are unable to provide sponsorship for employment visa status (e.g., OPT, F-1, EAD, OPT-EAD or H-1B visa status). Candidates who require sponsorship and are not eligible to work in the United States are not eligible to apply.<\/span><\/p>\n

\n

Flexible Work Policy:<\/b> The work for the Data Analyst II position is completed 100% remotely anywhere in the United States except Hawaii or United States Territories.\u00a0 This position may have the potential to travel up to 20% dependent on business needs.<\/span><\/p>\n

Data Analyst II (remote)<\/a><\/h5>\n

RESPONSIBILITIES\u00a0<\/b><\/p>\n

Responsibilities
\nIn this role, we are looking for an independent self-starter who will play a key role designing our data landscape in partnership with data architects and data engineers. You will work across the organization to ensure that the data in our cloud data warehouse serves our enterprise strategies.<\/p>\n

The Data Analyst role responsibilities below are framed around key performance areas.
\nData Preparation
\nExtract and synthesize data from multiple sources; perform exploratory data analysis, cleanse, massage, and aggregate data
\n\u2022 Collect, cleanse, and structure large data sets to find usable information
\n\u2022 Work with a team of analysts, engineers, and other associates to process information<\/p>\n

Data Analyst II (remote)<\/a><\/h5>\n

Data Analysis & Business Understanding<\/strong><\/p>\n

Strong understanding of business processes and community. Ability to operationalize insights to drive favorable business results; experience in model and rule performance based on business KPIs
\n\u2022 Work with executives and other business leaders to identify opportunities for improvement
\n\u2022 Create reports for internal teams and\/or external clients
\n\u2022 Collaborate with team members to collect and analyze data
\n\u2022 Establish KPIs to measure the effectiveness of business decisions<\/p>\n

Data Visualization<\/strong><\/p>\n

Strong developer of visualization and presentation paradigms to communicate discoveries
\n\u2022 Use graphs, dashboards, and other methods to visualize data
\n\u2022 Create presentations and reports based on recommendations and findings<\/p>\n

Analytics Evangelism<\/strong><\/p>\n

Data Analyst II (remote)<\/a><\/h5>\n

Willingness to collaborate with stakeholders
\n\u2022 Share best practices for analytics with others
\n\u2022 Approach all interactions with a positive attitude<\/p>\n

RELATIONSHIPS<\/b><\/p>\n

\u2022 Internal: This position will interact across the organization. Would need to be comfortable and capable of presenting to executives in the field and in functions, as well as working with SMEs across the organization. Data touches all aspects of our business, and it will span the entire range.<\/p>\n

\n

Ideal candidate would have successful track record of creating reporting and analyses in modern data technologies like Tableau, CRM Analytics, SAQL, Sigma, Snowflake, and SQL.<\/p>\n

QUALIFICATIONS<\/b><\/p>\n

Data Analyst II (remote)<\/a><\/h5>\n

\u2022 2-3 years of experience in data analysis, data engineering, data management, statistics and\/or related field
\n\u2022 Functional subject matter expertise in data management and in building and implementing effective data products in large, and matrixed organizations
\n\u2022 Experience across the entire data value chain – including data warehouses, data lakes, big data, ELT, data modeling, database administration, security, user interface, reporting & analysis, etc.
\n\u2022 Experience collecting, cleansing, profiling, and modeling data
\n\u2022 Experience with data pipelines using cloud-based tools
\n\u2022 Experience creating reports and dashboards
\n\u2022 Experience creating data specifications and data standards
\n\u2022 Background of improving user experience by interpreting data and automating decision making
\n\u2022 Ability to independently perform work with minimal supervision and direction, and execute on requirements to meet the needs of business stakeholders
\n\u2022 Ability to influence at all levels of the organization, including executive management, auditors, employees, customers, and vendors
\n\u2022 Ability to deal well with ambiguity and complex situations
\n\u2022 Strong independent judgment, discretion, critical, and analytical thinking, and problem-solving skills required
\n\u2022 Excellent communication and time management skills<\/p>\n

Data Analyst II (remote)<\/a><\/h5>\n

Education\/Training:<\/b>
\n\u2022 Bachelor’s degree (B.A.\/B.S.) in Computer Science, Engineering, Statistics, Finance, or a related field<\/p>\n

Data Analyst II (remote)<\/h3>\n

 <\/p>\n

\u201cTop 10 Interview Questions\u201d<\/h4>\n