(Junior) Data Consultant (m/w/d)

As a (Junior) Data Consultant (m/w/d) at Project A, your primary responsibilities include advising clients on various data topics to promote a data-driven business understanding, proactively identifying and implementing vital data strategies based on strategic business goals, and managing data warehousing and machine learning projects in collaboration with the Data Engineering and Science teams.

To apply for the (Junior) Data Consultant (m/w/d) position at Project A, candidates should have 1-2 years of professional experience in data consulting, ideally in a fast-paced environment. A strong emotional intelligence to build relationships with stakeholders is essential, along with a basic understanding of data analysis tools and at least some experience in specific data areas like marketing or customer analytics.

At Project A, a (Junior) Data Consultant (m/w/d) works with a range of tools and technologies including SQL for data analysis, Google Tag Manager for data collection, and Fivetran or Airbyte for data integration. Knowledge of database systems such as Snowflake or BigQuery, as well as data visualization tools like PowerBI or Looker, is also beneficial.

Collaboration is extremely important in the role of a (Junior) Data Consultant (m/w/d) at Project A. You will work closely with cross-functional teams, including Data Engineering and Science teams, to implement data solutions that meet client needs, which fosters a collaborative approach to problem-solving and innovation.

As a (Junior) Data Consultant (m/w/d) at Project A, you can expect a host of benefits including flexibility to work from home or in a modern office in Berlin, subsidized meals, wellness programs, learning and development opportunities, and support for relocation and visas. These perks are designed to enhance both your professional journey and personal wellbeing.

When identifying key data insights for clients, I focus on understanding their specific business goals and challenges. I then analyze existing data trends and patterns using tools like SQL and visualization software to uncover actionable insights and provide strategic recommendations.

One challenging project involved optimizing our client’s data collection methods. I collaborated with the Data Engineering team to implement Google Tag Manager, ensuring data accuracy and efficiency, which significantly improved our analytics and reporting capabilities.

I have experience using data visualization tools like PowerBI and Looker. I enjoy transforming complex data sets into comprehensible visual narratives that help stakeholders understand the implications of data trends and make informed decisions.

I actively participate in industry webinars, follow prominent data science blogs, and engage in professional networks. Additionally, I make it a point to attend relevant conferences and training sessions to broaden my knowledge and skills.

Emotional intelligence is crucial in data consulting as it enables me to effectively communicate insights and foster relationships with clients. Understanding their concerns and motivations helps me tailor solutions that truly align with their strategic objectives.

I prioritize projects by assessing their urgency and impact on client objectives. I use task management tools to break down each project into smaller tasks, allowing me to allocate time efficiently and ensure all projects stay on track.

To validate data quality, I employ methods such as cross-referencing with reliable data sources, conducting regular audits, and using automated checks for consistency. Maintaining high data integrity is vital for trust in insights derived from that data.

My experience with data warehousing includes managing ETL processes and working with databases like Snowflake. I understand how to structure and optimize data for analysis, ensuring that our datasets are efficient and accessible for end-users.

In the event of a disagreement regarding data analysis, I would approach the situation with open communication. I’d seek to understand their perspective, back my findings with data, and collaboratively explore each viewpoint to reach a consensus or compromise.

I’m excited about the Data Consultant role at Project A because it offers the chance to work with diverse clients, tackle real-world challenges, and contribute to data-driven strategies in a supportive, innovative environment that values growth and learning.