Sr Insights And Reporting Specialist Jobs

Develop, manage, & present monthly Board packages, Internal reporting packages, & Management packages for Executive Leadership Team

Bachelor’s degree in Accounting, Finance, Business, or related experience is required

Demonstrated problem solving and analytical skills with strong financial modeling experience

Manage company’s departmental structure for accurate reporting & analysis

Minimum of 3+ years of experience with financial analysis and reporting

Minimum of 3+ years of experience with Excel and other Microsoft Office products

Experience in the design and management of secondary data analytics.

Strong project management and organizational skills with cross-functional teams of diverse colleagues

Analytics, statistics and/or database knowledge and experience (using tools, applications, platforms, etc.)

Demonstrated analytical capabilities and critical thinking skills

Evaluate campaign assets to ensure optimal customer experience steeped in deep customer insights.

Actively seek to share knowledge and expertise with other colleagues.

QUALIFICATIONS AND SPECIAL SKILLS REQUIRED:

5+ years of relevant experience driving workforce insights through data analysis and statistical modeling, preferably in an HR environment

Excellent written and verbal communication skills. Ability to simplify complex quantitative data and concepts to articulate workforce insights to business stakeholders

Collaborate with stakeholders throughout the organization to find opportunities for company data to drive business solutions

Strengthen business partner relations by acting with integrity and seeking to understand their business priorities and support needs

Develop custom data models for large data sets, verifying model performance, data integrity, and business relevance

Experience supporting Product Managers or embedded within a Product team.

Demonstrated knowledge of statistical methods, techniques, formulas, and tests, experience developing causal and statistical inference models.

Technical competency: Advanced SQL skills, proficiency with Python/R, and experience with BI tools (e.g., Tableau, Power BI) are table stakes

Degree in quantitative field and 5+ years of experience using data to facilitate product decisions.

(Preferred) – Prior experience in the payments industry or payment ecosystem (e.g., payments processing, acquiring, or technology).

(Preferred) – Practical experience working with cloud-based data warehouses (e.g., Snowflake, Google BigQuery, Azure Synapse).

Benefits for humans and pets: We offer comprehensive medical, dental and vision plans for everyone including your pets.

Previous professional experience as a Business Intelligence: Leverage metrics to drive insights and influence business decisions

Experience with Big Data frameworks like Snowflake, Spark, and AWS services in an agency or in-house setting.

Continuing Education: Fetch provides ten thousand per year in education reimbursement.

Work with Revenue Generation and cross-functional counterparts to analyze sales and marketing data.

Effectively communicate technical concepts to wider business, including non-technical team members to drive client strategy.

Collaborate with product marketing, product management, finance, business development and other stakeholders.

Ability to serve as a trusted business partner with product management, product marketing, sales, and account management.

Develop and manage a market intelligence governance process and platform, including leading monthly steering committees.

Translate business questions and marketing objectives into analytic hypotheses, data needs and reporting requirements.

Strong communication skills with the ability to adapt messages for different audiences and marketing/communications channels.

Ability to handle responsibilities and relationships within stakeholders with poise, tact, resourcefulness, creativity and flexibility.

Digital media campaign management experience a plus

Minimum three (3) years of experience in analytics, business planning or similar role

Experience working in a matrixed team environment and with a variety of partners at all levels

Bachelor’s Degree (or equivalent) with preferred concentration in Business, Marketing, Economics, Statistics, Finance, Industrial Engineering, Operations Research, or similar field

Lead efforts to analyze the effectiveness of Marketing programs while delivering insights to improve results.

Research industry trends, solving opportunities for value-added analysis, developing points of view to increase results, and framing recommendations for leadership.

Supplier Management: Manage research suppliers to maximize value and complete projects within time and budget

Experience: Advanced Excel skills required, PowerPoint proficiency, experience using cross-tab software, survey platform and data-visualization tools.

Problem-solver: Solution-oriented, critical thinker that demonstrates intellectual and analytical rigor with strong problem-solving skills

Nimble: “roll with the punches” and reprioritize time and resources to focus on what matters most Qualifications and Attributes:

Education:S. in marketing, business administration, psychology, social sciences, or a related discipline

Insights Development: Mine the data, identifying trends, themes, and key points then translate research findings into clear and actionable recommendations

BS/BA in mathematics, statistics, management, business, marketing, entrepreneurship, or a related field

Knowledge of the streaming landscape, Peacock’s streaming offerings, as well as NBCU brands, and their interface with the media industry

2-3 years of experience in a highly analytical role, preferably at a top agency or consultancy

Strong excel and data viz (e.g., PowerPoint) skills, programming skills a plus

Experience with consumer data surveys and platforms such as MRI Simmons, Nielsen, and YouGov is a plus

Ability to manage relationships with stakeholders of varying levels of seniority

Own the development of custom campaign performance reporting and analysis across all acquisition and personalized offer campaigns.

We encourage candidates with either a bachelor’s degree or equivalent work experience in a related field to apply.

Strong experience working with large data sets, web analytical tools and programming (SQL, Hadoop, Tableau, SAS, IBM Analytics, etc).

Familiarity with ad tech (e.g., Adobe Analytics, Google Ad Manager, Google Campaign Manager, Ads manager, Liveramp).

Excellent leadership, facilitation, and interpersonal skills, with the ability to work across functional lines and at many levels.

Sr. Manager, Customer Reporting & Insights

Supplier Management: Identify, onboard, and manage research suppliers to maximize value and complete projects within time and budget

Analytical: Experience managing complex data sets and applying appropriate descriptive and predictive statistical analyses. Experience using advanced quantitative data analysis tools is preferred. 

Storyteller: Experience with communicating key insights in a simple and compelling way to influence action

Education: B.S. in marketing, business administration, psychology, social sciences, or a related discipline; graduate degree preferred

Data-driven and innovative: Embrace continuous improvement utilizing diverse research approaches, exploring methodologies and analytics processes

Strategic: Must be a strategic thinker, with an eye on big picture research and implications

Experience understanding key barriers to behavioral change and developing effective change management programs

Location, confirmed job-related skills and experience will be considered in setting actual starting salary

Leverage overall business knowledge in order to improve effectiveness and develop efficiencies

Four Year Degree in Business, Accounting or Finance degree preferred

Please note this role has the option to sit anywhere in the South Division

Position is Home Based with occasional travel to distribution sites across the South Division

Previous experience working in impulse categories highly preferred.

Previous experience within Convenience Channel preferred.

Strong leadership skills & ability to think strategically.

Strong analytical & problem-solving skills.

Extensive communication & presentation skills.

Bachelor’s Degree in related field or related prior experience required

5+ years' experience of software product management experience.

Outstanding organizational skills, especially the ability to manage multiple concurrent priorities being executed by multiple teams.

Bachelor's degree or equivalent experience.

5+ years' experience with Agile methodology and scrum team experience.

In-depth knowledge of AI, LLMs and Generative AI

Knowledge of hardware and software security components and principles

5-8 years of previous people management experience.

Experience with medical/retail claims and Managed care data a plus

Support sales intelligence initiatives through the full lifecycle from requirements analysis through design & development, release, testing and support / maintenance.

Define and establish metrics to provide regular reporting capabilities to measure commercial effectiveness and actions required

Partner with IT and other cross-functional teams to define systems and analytics capabilities.

Demonstrated successful experience as a Business Intelligence Engineer

Manage a team of exceptional Specialists and Associates

Collaborate with cross-functional partners on a range of initiatives to enhance the client experience and increase the adoption of our products

Bachelor’s degree or equivalent experience

7+ years experience in a high-pressure, fast-paced environment; start-up experience preferred

Strong visual communication skills to tell tell a story for a technical and non-technical audience

Experience with Tableau, Google Looker Studio or similar data visualization software

Excellent interpersonal skills, strength in both written and verbal communication in a multicultural environment with all levels of employees and management.

Ability to clearly and effectively present information to top management and key stakeholder groups.

Build and lead small team of HR Data & Analytics Client Account Managers

Translate the Brand’s needs into data requests using thorough knowledge of data elements available in Data Warehouse and other source systems

Manage client input and feedback for all projects with detailed direction and timelines

10+ years working experience in analytics or related work, of which 3+ years includes Analytics Leadership experience

Offer meaningful insights and identify trends and opportunities in the market

Work in partnership with the Omni Insights and Finance teams

Collaborate with Finance to review and challenge Regional budgets

Responsibilities include, but are not limited to:

Analyzing US Retail business results

Creating reporting and presentations for LVA Leadership

Demonstrated strong project management skills, including the ability to effectively handle multiple tasks simultaneously and changing priorities

Solid analytical and technical problem solving skills, including strong knowledge of statistics and financial analysis

DPEP experience with Sales and Travel Operations, Marketing, or Finance,

Minimum seven (7) years of experience in business analytics and strategic planning or similar, preferably within the travel/hospitality industry

Strong leadership skills over both direct and indirect reporting relationships

Demonstrated problem-solving and critical thinking skills

Develops formal analytical training curriculum for ICs and Managers within the department, strengthening the analytical skill set within Loyalty.

Bachelor's degree or 5 years of analytical experience. Master's degree in a quantitative field (Business, Finance, Economics, Mathematics, Engineering or related).

Designs and develops consistent data reporting capabilities across SkyMiles, Cobrand, Loyalty Servicing and Merchandising & Partnerships (MAPS).

Strategic thinking and creative problem-solving skills with ability to translate data into actionable insights.

Advanced expertise with SQL and working knowledge of analytical tools such as SAS, Hyperion, Tableau, and advanced Excel functionality.

Experience in an analytical role with the ability to extract large datasets and identify key insights to support business decisions.