Data Project Manager

Posted:
10/27/2024, 12:41:53 AM

Location(s):
Tel-Aviv District, Israel ⋅ Tel-Aviv, Tel-Aviv District, Israel

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
Business & Strategy

Workplace Type:
Hybrid

Similarweb is the leading digital intelligence platform used by over 3500 global customers. Our wide range of solutions power the digital strategies of companies like Google, eBay, and Adidas.

We help our customers succeed in today’s digital world by giving them access to data-driven insights, competitive benchmarks, strategic analysis, and more.  

In 2021, we went public on the New York Stock Exchange, and we haven’t stopped growing since!  

We’re looking for a Data Project Manager.

As the Data Project Manager, you will guide the building of scalable data infrastructure, manage data-related projects, and orchestrate data meetings to ensure smooth data operations across the company.

This role combines product management expertise working alongside data engineering and BI, project management skills, and complex cross-functional collaboration. 

Key Responsibilities:

1. Lead Data Infrastructure and Reporting Development:

Define and guide the development of a robust data infrastructure to support analytics and reporting needs on the data we acquire and process, for our suite of client facing products.

Collaborate with data engineers, data scientists, and BI teams to build scalable data pipelines and databases.

Analyze and optimize data processes to maintain high standards of data quality and relevance.

Encourage innovation and adoption of new tools and technologies to improve data operations.

2. Manage Data Projects:

Oversee and manage hands-on projects focused on prioritizing data acquisition, data composition, risk management, and mitigation, ensuring they capture business strategy and needs,  while meeting deadlines, milestones, and other project aspects.

Align cross-functional teams and interests (R&D, Data Engineers, Data Scientists, BI, Business, Operations etc) to dive into technical details and maintain project goals.

Utilize project management tools and methodologies to track progress, manage risks, and report to management.

3. Orchestrate And Manage Strategic Data Meetings:

Act as the primary consolidator and organizer of monthly and quarterly data meetings, presenting to C-Suite level, and bringing together content from different R&D teams.

Ensure a holistic view of the organization's data strategy and facilitate alignment among all stakeholders.

Identify , flag and manage risks or issues that arise from the integration of disparate data efforts across teams.

Serve as a bridge between technical teams and business units, translating complex data concepts into actionable insights.

Must-Have Experience

- Minimum of 4 years of experience in BI, with hands-on practice in data engineering, and backend development 

- A focus on big data at scale and complexity.

- Strong proficiency in SQL and Tableau; Python experience is preferred.

- Strong technical skills with a focus on relational databases and big data technologies.

- Analytical mindset with the ability to query, structure, and process data effectively.

- Experience managing complex data projects end to end 

- Experience collaborating in large cross-functional settings, including R&D, data collection, data engineering, data science, and BI.

- Proven experience in writing technical specifications related to data flow and structure.

Skills

- Strong passion for detail, exceptional execution skills, and a hands-on approach.

- Team-oriented mindset with the ability to work effectively with a wide range of individuals, including product, R&D, executives, business partners, and customers.

- Excellent communication and presentation skills.

- Ability to influence cross-functional teams and create consensus.

*All Similarweb offices work in a hybrid model, so you can enjoy the flexibility of working from home with the benefits of building face to face connections with fellow Similarwebbers.*

Why you’ll love being a Similarwebber:

You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world.

You’ll find a home for your big ideas:  We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization. 

We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours.

You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here.

Diversity isn’t just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. We believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day.

 

We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here.

Similarweb

Website: https://www.similarweb.com/

Headquarter Location: New York, New York, United States

Employee Count: 1001-5000

Year Founded: 2007

IPO Status: Public

Last Funding Type: Series F

Industries: Analytics ⋅ Artificial Intelligence (AI) ⋅ Business Intelligence ⋅ Market Research