You’re adapting to new management in data analytics. What are the most important things to consider?

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Data analytics is a dynamic and evolving field that requires constant learning and innovation. But what happens when you have to adjust to a new manager who has a different vision, style, or expectations than your previous one? How can you cope with the change and maintain your performance and satisfaction? Here are some tips to help you navigate this transition and thrive in your data analytics role.

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Anubal I V

Business Analyst @ Landmark Group | LinkedIn Top Data Analytics Voice ??
David Heraty

Senior Commercial Manager | Oracle Advisory | Oracle Cloud Solutions Partner
Sowunari Ikiriko (GMNSE)

Data Analyst / Scientist || Quality Assurance Auditor || QHSE Professional

1 Understand the goals

The first thing you need to do is understand what your new manager wants to achieve and how they measure success. Ask them about their short-term and long-term objectives, their priorities, and their preferred methods and tools. Align your work with their goals and show them how you can add value to their projects and initiatives. Communicate your progress and challenges regularly and seek feedback and guidance when needed.

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Sowunari Ikiriko (GMNSE)

Data Analyst / Scientist || Quality Assurance Auditor || QHSE Professional
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When adapting to new management in data analytics, it's crucial to prioritize communication and alignment of goals and expectations. Understanding the new management's vision, priorities, and preferred communication style is essential for successful collaboration. Establishing clear channels for feedback and reporting helps ensure transparency and accountability in data analytics initiatives. Adapting to any changes in processes, tools, or methodologies introduced by the new management is important to maintain efficiency and effectiveness. Building positive relationships with new stakeholders and demonstrating the value of data analytics in achieving organizational objectives is key to gaining their support and buy-in

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Wilfredo Alpirez

Ingeniero de datos | Python | IA | Computer Vision | Data Driven |
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Lo primero que debe hacer es comprender lo que su nuevo gerente quiere lograr y cómo mide el éxito. Pregúnteles sobre sus objetivos a corto y largo plazo, sus prioridades y sus métodos y herramientas preferidos. Alinee su trabajo con sus objetivos y muéstreles cómo puede agregar valor a sus proyectos e iniciativas. Comunique su progreso y desafíos con regularidad y busque comentarios y orientación cuando sea necesario.

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Andrea Castiblanco Castiblanco

Especialista en Finanzas Públicas en Escuela Superior de Administración Pública
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Para el análisis de datos debe tener adaptabilidad a las herramientas pero mas que eso es un manejo de resolución de problemas y pensamiento critico, que lleva a generar estrategias para obtener objetivos claros, que adapte los datos al mundo real, es decir saber como entregar el producto final para que cualquier persona comprenda la información que se muestra. La implementación de herramientas es indispensable y el cambio de estas en tiempos tecnológicos lo es aun más, pero tener la habilidad de ver la información desde varias perspectivas y transmitirla con la adaptación de las nuevas herramientas, hace que el análisis de datos tenga un enfoque integral.

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Kavindu Rathnasiri

Top Voice in Machine Learning | Data Science and AI Enthusiast | Associate Data Analyst at ADA - Asia | Google Certified Data Analyst | Experienced Power BI Developer
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Adapting to new management in data analytics requires open communication and a willingness to understand their vision and expectations. From my experience, it's crucial to build rapport and establish trust early on by actively listening, seeking feedback, and aligning goals with the team's objectives. Embracing change with a positive attitude and being flexible in adjusting workflows or strategies can foster a collaborative and productive working relationship with new leadership.

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Varun Srikanth

Actively seeking full time opportunities in Business Analytics | Data Analytics | Project Management | CSM | CAPM | Six Sigma Green Belt | SQL | Power BI | Tableau
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Adapting to new management in data analytics, consider understanding their goals, priorities, and decision-making style. Communicate effectively to align your analytics projects with their objectives. Be proactive in showcasing the value of data-driven insights to inform strategic decisions. Adapt to any new methodologies, tools, or processes they introduce. Build a strong relationship based on trust and transparency. Lastly, stay flexible and open to change, demonstrating your ability to support the new direction and contribute to success.

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2 Adapt to the culture

Every manager has a different way of leading, communicating, and collaborating with their team and stakeholders. Some may be more hands-on, while others may be more hands-off. Some may prefer formal reports, while others may favor informal chats. Some may encourage creativity and experimentation, while others may favor standardization and compliance. Observe and learn how your new manager operates and what they expect from you. Adapt your style and approach to match theirs and avoid conflicts or misunderstandings.

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Anubal I V

Business Analyst @ Landmark Group | LinkedIn Top Data Analytics Voice ??
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New data manager, new approach! Imagine your old manager loved detailed reports, while your new one thrives on quick data insights during chats. To adapt, decode their style: how they ask questions, what report details matter. Clear communication is key! Schedule meetings, ask clarifying questions to avoid misunderstandings. Finally, build trust: share data insights proactively and take initiative on tasks. This adaptation fosters a strong relationship and keeps your data analysis impactful.

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David Heraty

Senior Commercial Manager | Oracle Advisory | Oracle Cloud Solutions Partner
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If your manager favours a more structured approach to communication, you can offer to streamline reporting processes or introduce tools that enhance efficiency without sacrificing clarity. Similarly, if there's an emphasis on creativity and experimentation, share your insights and experiences to inspire new ideas and approaches within the team. Ultimately, successful adaptation to the culture of your new management requires a balance of flexibility, empathy, and proactivity. By actively participating in and contributing to the team culture, you not only demonstrate your ability to adapt but also showcase your commitment to collaboration and collective success.

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3 Showcase your skills

You may have been a star performer under your previous manager, but your new manager may not be aware of your skills and achievements. Don't assume that they know what you can do or what you have done. Instead, demonstrate your skills and expertise through your work and your interactions. Share your insights, ideas, and suggestions with your new manager and show them how you can solve problems, improve processes, and generate value with data analytics. Highlight your strengths and areas of improvement and ask for opportunities to learn and grow.

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David Heraty

Senior Commercial Manager | Oracle Advisory | Oracle Cloud Solutions Partner
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One effective strategy is to create a personalized portfolio or showcase reel that highlights your past projects, methodologies used, and the impact of your analyses on business outcomes. This tangible evidence not only reinforces your skills but also provides a clear demonstration of your value to the team. Actively seek feedback from your manager on areas where you can further develop and grow, showcasing your commitment to continuous improvement.

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4 Build rapport

One of the most important aspects of adapting to new management is building a positive and trusting relationship with your new manager. This can help you overcome any initial challenges or resistance and foster a collaborative and supportive work environment. To build rapport, you need to show respect, interest, and appreciation for your new manager. Listen to them, ask them questions, and learn about their background, interests, and preferences. Express gratitude for their support and recognition and acknowledge their contributions and achievements.

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5 Embrace change

Finally, you need to embrace change as an inevitable and beneficial part of your data analytics career. Change can bring new opportunities, challenges, and perspectives that can help you grow as a professional and a person. Instead of resisting or fearing change, welcome it with curiosity and optimism. Be open to learning new things, trying new approaches, and working with new people. Be flexible and resilient and focus on the positive outcomes that change can bring.

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6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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You’re adapting to new management in data analytics. What are the most important things to consider?

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1 Understand the goals

2 Adapt to the culture

3 Showcase your skills

4 Build rapport

5 Embrace change

6 Here’s what else to consider

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