3 Data Hygiene Jobs

The Management Trainee/Intern/Contract Employee for Project Management position involves contributing to the development of an AI model based on the company's knowledge management databases. As a proactive individual, you will be responsible for seamless data gathering, effective stakeholder coordination, and ensuring data hygiene. Exceptional communication skills and a strong "get-it-done" attitude are essential for success in this role. Your key responsibilities will include collecting and organizing relevant data for AI model development, engaging with stakeholders for timely updates, conducting data hygiene checks, assisting in project planning and execution, maintaining clear communication with all parties involved, and addressing roadblocks to ensure project continuity. To qualify for this role, you should have a Bachelors/Master's degree (or pursuing one) in Business Administration or a related field, with a background in IT being advantageous. Strong interpersonal skills, the ability to work with speed and accuracy under tight deadlines, resourcefulness, and a proactive approach to problem-solving are essential. While prior experience in project management or data handling is preferred, it is not mandatory. The ideal candidate for this position should possess key attributes such as boldness, confidence, a fast learning ability, adaptability, organizational skills, attention to detail, and excellent verbal and written communication skills. If you are someone who enjoys challenges, is eager to learn, and thrives in a fast-paced environment, this role may be a great fit for you.,

As a Management Trainee/Intern/Contract Employee for Project Management, your primary responsibility will be to contribute to the development of an AI model utilizing our company's knowledge management databases. You will be expected to excel in data gathering, stakeholder coordination, and ensuring data accuracy. Your proactive nature, coupled with exceptional communication skills, will be crucial in this role. Your duties will include collecting and organizing relevant data needed for AI model development, engaging with stakeholders for timely updates, conducting data checks for accuracy, assisting in project planning and execution, maintaining clear communication, and addressing challenges to ensure project progress. The ideal candidate for this position should possess a Bachelors/Master's degree (or pursuing one) in Business Administration or a related field, with a background in IT being advantageous. You must exhibit strong interpersonal skills, work effectively under pressure, be resourceful in problem-solving, and have prior experience in project management or data handling. Key attributes that will set you up for success in this role include being bold and confident, having a fast learning ability, being highly organized, and possessing excellent communication skills, both written and verbal. If you are ready to take on a dynamic role that involves working with cutting-edge technology and contributing to impactful projects, we encourage you to apply for this opportunity.,

We are seeking a leader who can bring a product mindset to take ownership of, manage, scale, and curate customer data generated in third-party applications. The primary goal is to make this data useful, relevant, and accessible not only to our many analyst teams but also to integrate it with other applications. It is crucial to unlock the power within our application data by understanding how analysts and other systems will consume the data. Fortunately, we have a robust framework in place to support the existing data model and can adapt to updated models as our business evolves. The individual in this role will have a significant influence on how we represent customer data in multiple systems. As a candidate for this role, you should be empathetic to the analytic needs of business stakeholders, product owners, engineers, and analysts. You must possess the ability to translate data requirements into practical solutions that cater to those needs. Adherence to established protocols while being open to adapt to changes is essential. You should be willing to enhance existing systems, provide recommendations, and challenge assumptions when necessary. A deep passion for accuracy and validation to ensure the correctness of transformations is crucial. The ideal candidate should be action and results-oriented, capable of leading work independently and collaboratively across teams. Your daily responsibilities will include communicating with various teams such as business teams, product owners, analysts, engineers, and other data consumers to understand data needs. You will be tasked with prioritizing new data and integration requests and developing processes to meet demand effectively. Taking ownership of solution integrations and advocating for them will be a key part of your role. Engaging with users to ensure shared success and deeper insights by anticipating their needs is essential. Moreover, you will be expected to practice good data hygiene, implement data management controls, and adhere to implementation standards. Developing operational playbooks/runbooks to support integrations and enhance consistency, scalability, and resilience will also be part of your responsibilities. You will need to establish processes that validate, automate, and scale transformations in the reporting layer. Providing regular updates to technical and non-technical stakeholders and managing and publishing your product roadmap for stakeholders are also crucial aspects of the role. To excel in this role, you should possess strong communication skills, both written and verbal, and demonstrate an ability to listen and understand the root needs across various business units. A deep desire to ensure the success of your partners while using your solutions is essential. You must have a demonstrated ability to document schemas, data models, data dictionaries, etc. Well-established personal processes to manage multiple requests from different stakeholders, maintaining clear priorities, adjusting when necessary, and always being helpful and pleasant are important traits. Experience with relational and columnar database stores, data modeling, data architecture knowledge, advanced SQL skills, and at least 4+ years of experience working with common SaaS web applications and similar technologies are required. A Bachelor's Degree or equivalent qualification is preferred.,