TalentAlly

TalentAlly is a recruitment platform that connects diverse talent with inclusive employers, focusing on enhancing workplace diversity and inclusion. The company offers job postings, recruitment solutions, and organizes job fairs to facilitate employment opportunities for underrepresented groups. With a recent investment of $1.3 million in artificial intelligence, TalentAlly aims to improve job matching efficiency and expand its reach to diverse communities. Their business model includes premium job postings and partnerships with various organizations to enhance recruitment efforts.

AIDiversityEmploymentInclusionJob FairJob MatchingRecruitmentTalent Acquisitiontalentally.com

TalentAlly

AIDiversityEmploymentInclusionJob FairJob MatchingRecruitmentTalent Acquisitiontalentally.com

HQChicago, US

Team Size82

Open Jobs2853

Total Funding-

Latest FundraiseUnknown

Join the Team

Sr Manager, Analytics & Data Engineering

On-SiteSussex, WI, US

On-Site • Sussex, WI, US

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Rise is an award-winning , full-service Media Agency of Record that is backed by data and powered by people. We create omnichannel experiences using our proprietary tech stack and advanced analytics capabilities to help solve the unique struggles brands face today. This approach, with transparency at its core , specializes in omnichannel media, commerce and retail media, advanced in-home media, as well as content and creator marketing.

We offer "Risers" the opportunity to work in an ever-evolving industry that will foster learning and development, provide an innovative work environment with diverse projects and clients, career advancement paths a collaborative team environment, corporate social responsibility initiatives, an inclusive and diverse culture, plus association with a reputable media agency. We're looking for talent like you who can continue to elevate our work and culture.

General Purpose of Job The Sr Manager, Analytics, Data Engineering will be a leader in Rise's Data Engineering team in support of the broader Media Analytics team. This role is dedicated to developing and implementing data onboarding, cleansing, and maintenance systems to ensure data is accessible for modeling, business intelligence, research, and sales supporting team member. Importantly, this includes building and operating the automated machinery associated with the tens of thousands of variables included within the Quad/Rise Data Stack. Furthermore, this individual is the key technical liaison between the analytics team and data compliance.

Key Responsibilities

Technology Lead - ability to own process and provide strategic and architectural direction on enhancements to both individual and group workstreams. Lead developer possessing a willingness to mentor junior staff.

Job Requirements Education: Bachelor's degree in Data Science, Computer Science, Engineering, or a related field. A Master's degree is preferred.

Experience: Minimum of 4-7 years of experience in data engineering, data science, or a related field. Experience in media and marketing is a plus.

Knowledge, Skills & Abilities

Technical Skills: Proficiency in analytic technologies and platforms (e.g., machine learning, AI, big data technologies) and a strong understanding of data integration and management technologies.
Technical Language/Platform: T-SQL, PySpark, Alteryx, Snowflake
Analytical Skills: Exceptional analytical and problem-solving skills with the ability to translate complex technical requirements into broadly understood solutions.
Communication Skills: Excellent verbal and written communication skills, with the ability to present technical challenges clearly to non-technical stakeholders.

Rise and Quad are proud to be an equal opportunity employers. We are committed to creating a place of belonging - a space where employees do not need to sacrifice who they are to exist and grow in our workplace. Rise and Quad do not discriminate on any unlawful basis including race, religion, color, national origin, disability, gender, gender identity, sexual orientation, age, marital status, veteran status, genetic information, or any other basis prohibited by applicable federal, state, or local laws. Rise and Quad also prohibit harassment of applicants and employees based on any of these protected categories. PDN-9f76cda7-7f84-48b4-8f48-1ef73ffdc97c

Technology Strategy: Develop and implement a strategic vision for analytic technologies that align with Quad's business goals, client needs, and cyber security requirements.

Innovation: Drive the development of innovative analytic solutions, leveraging the latest technologies and methodologies to improve scale, efficiency and/or accessibility to our data assets, while anticipating future needs and challenges.

Collaboration: Work closely with data scientists, analysts, and other stakeholders to ensure the seamless integration of analytic technologies into client solutions. Further, serve as a key stakeholder in the software development projects undertaken on behalf of the analytics team.

Client-unique Data Challenges: When necessary, serve as the final solutions contributor to solve unique client problems.

Performance Optimization: Continuously monitor and optimize analytic technologies to improve efficiency, accuracy, and client outcomes.

Reporting and Analysis: Ensure the Business Intelligence team has access to timely and clean data.

Adoption Encouragement: Promote the adoption of new analytic technologies among internal teams and clients, highlighting the benefits and capabilities of these innovations.

Staff Management: Manage and develop the Data Engineering team, ensuring efficient use of resources and fostering professional growth.

Interpersonal Skills: Strong interpersonal skills with the ability to build and maintain relationships with internal clients, and team members.

Leadership Skills: Proven leadership abilities with a track record of managing and developing high-performing teams.

Organizational Skills: Exceptional organizational skills with the ability to manage multiple projects simultaneously and meet deadlines.

Creative Problem-Solving: A passion for integrating data-driven decision-making with creative problem-solving to develop innovative solutions.