TIKTAL OU

75 Total Employees
Year Founded: 2018

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Artificial Intelligence • Digital Media • eCommerce • Marketing Tech • Software
9 Offices
500 Employees
Jobs at TIKTAL OU

Search the 12 jobs at TIKTAL OU

Recently posted jobs

AdTech • Marketing Tech
Looking for a Principal Data Scientist experienced in supply chain optimization and inventory allocation, with strong coding capabilities in Python.
AdTech • Marketing Tech
Looking for a Data Product Manager with extensive experience in product management, data analytics, and data science. Responsibilities include translating business problems into analytics solutions, managing analytics projects, and overseeing data foundation design and management. Requires strong SQL skills, experience in agile environments, and ability to engage with executive stakeholders.
AdTech • Marketing Tech
The Senior Manager/AD - IOT/Telematics will apply strong expertise in AI through the use of machine learning and data mining to design and develop next-generation advanced analytics engines and services. They will collaborate with teams to define technical problem statements, develop analytical models, and drive future strategies.
AdTech • Marketing Tech
Looking for a Manager/Sr. Manager in Digital Analytics with 8-10 years of experience in marketing strategy and program management. Responsibilities include collaboration with cross-functional teams, data analysis, program management, and leadership. Must have strong analytical skills, experience with digital analytics tools, and the ability to convey complex data insights to non-technical stakeholders.
19 Days Ago
Canada
AdTech • Marketing Tech
Looking for experienced Data Scientists to join a fast-growing advanced analytics consulting firm. Responsibilities include developing innovative solutions using cutting-edge techniques, collaborating with cross-functional teams, and driving future strategy with analytical skills.
AdTech • Marketing Tech
Looking for a Data Engineer with 8+ years of experience in database design, SQL knowledge, AWS cloud services, and object-oriented scripting languages to generate insights and solve business challenges.
AdTech • Marketing Tech
Managing large-scale data analytics client engagements, crafting engagement planning, presenting solutions to technology and business audiences, ideating problem solutions leveraging modern trends in data and analytics, collaborating with stakeholders and product managers
AdTech • Marketing Tech
Manage large-scale data analytics client engagements, work with business executives to understand requirements, present solutions to technology and business audiences, collaborate with stakeholders, and lead discussions on architecture and cloud solutions.
AdTech • Marketing Tech
The BI Senior Manager at Tiger Analytics is responsible for leading BI and Dashboard initiatives, analyzing business requirements, communicating data architecture, building dashboards, and ensuring data quality. The role requires expertise in Quicksight, AWS, PowerBI, Tableau, data warehouse ETL, and knowledge of cloud platforms and big data systems.
AdTech • Marketing Tech
Looking for a Manager/Senior Manager in Analytics Consulting with a blend of business consulting skills and data analytics background. Responsibilities include working on data science applications, translating business problems into analytical solutions, managing analytics projects, and presenting solutions to stakeholders. Requirements include 7-12 years of experience, strong understanding of statistical and machine learning algorithms, project management skills, and proficiency in SQL, R, Python, Qlik, Tableau.
23 Days Ago
Canada
AdTech • Marketing Tech
Seeking an experienced Data Engineer with expertise in Dataiku to design, build, and maintain data pipelines, integration processes, and infrastructure. Collaboration with stakeholders for efficient data flow and support data-driven decision making.
23 Days Ago
Canada
AdTech • Marketing Tech
Experienced Data Architect responsible for designing and implementing robust data solutions using Snowflake platform. Collaborate with stakeholders to align data architecture with business objectives. Optimize performance and ensure data integrity and security. Evaluate and adopt new technologies to enhance data management capabilities.